Jacob steinhardt Dec 6, 2012 · Log-Linear Models. Jacob Steinhardt is a professor of artificial intelligence and computer science at UC Berkeley. Jul 26, 2021 · How Much Do Recommender Systems Drive Polarization? 11 minute read. and S. Jordan, and Jacob Steinhardt. The test covers 57 tasks including elementary mathematics, US history, computer science, law, and more. Transluce is building open, scalable technology to understand AI systems and steer them in the public International Olympiad in Informatics – Statistics. To measure this ability in machine learning models, we introduce MATH, a new dataset of 12;500 challenging competition mathematics problems. Major: Computer Science College/Employer: MIT Year of Graduation: 2012 : Brief Biographical Sketch: I received my Ph. Feb 5, 2017 · Prékopa–Leindler inequality. Assistant Professor Jacob Steinhardt has co-founded Transluce, a non-profit AI research lab. g. 53. The search will list all of LBI's digitized materials pertaining to this artist/creator, including artworks (those described in the Griffinger Portal and more), archival collections Feb 29, 2024 · TL;DR: We present a retrieval-augmented LM system that nears the human crowd performance on judgemental forecasting. Technical Report TRA2/06, School of Computing, NUS, 2006. Jacob Steinhardt trabajó principalmente en grabados en madera que representaban temas bíblicos y judíos. Independence. Jacob Steinhardt∗ UC Berkeley jsteinhardt@berkeley. We typically rst collect training data, then t a model to that data, and nally use the model to make predictions on new test data. Senior Fellows are highly accomplished individuals working on approaches for increasing the beneficial promise of AI. arXiv preprint, 2021. Published: December 30, 2013 An important concept in online learning and convex optimization is that of strong Apr 7, 2021 · In machine learning, we are obsessed with datasets and metrics: progress in areas as diverse as natural language understanding, object recognition, and reinforcement learning is tracked by numerical scores on agreed-upon benchmarks. 3GB) This repository contains both training and evaluation code. edu Jacob Steinhardt UC Berkeley Abstract Many intellectual endeavors require mathematical problem solving, but this skill remains beyond the capabilities of computers. In response to emerging safety challenges in ML, Aug 22, 2010 · I ended my last post on a somewhat dire note, claiming that least squares can do pretty terribly when fitting data. I am affiliated with the Berkeley AI Research Lab . Photo by Chris Young Canadian Press / Elaine Fancy GRI. The dataset is available here. In order to find these failures before deployment, we introduce MULTIMON, a system that automatically identifies systematic failures. View Jacob Steinhardt’s profile on LinkedIn, a professional community of 1 billion members. He completed his PhD in machine learning at Stanford University working with Percy Liang. We present a list of five Oct 8, 2024 · Jacob Steinhardt, Assistant Professor at UC Berkley in the department of Electrical Engineering and Computer Science, as well as a Hertz Fellow and a AI2050 Early Career Fellow, will be delivering Jacob Steinhardt was born in Żerków, Germany (now Poland). signed J Steinhardt and dated 1935 (lower left) . Oct 31, 2024 · From left, Geoffrey Hinton and Jacob Steinhardt in a composite photo. To this end I will present a probabilistic model such that conditional inference on that model leads to generalization across a category. His research goal is to make the conceptual and empirical advances necessary to design human-aligned machine learning systems. W. Browse our selection of paintings, prints, and sculptures by the artist, and find art you love. Jordan Professor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley Verified email at cs. Can we use AI to help us understand each of these objects, and use this understanding to steer and align the system? · Education: University of Wisconsin-Whitewater · Location: Plymouth · 4 connections on LinkedIn. I’ve collated some of these below. Published: February 05, 2013 While grading homeworks today, I came across the following bound: Theorem 1: If A and B are symmetric Jacob Steinhardt (Polish, Zerków 1887–1968) 1950. The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning Nathaniel Li*, Alexander Pan*, …, Alexandr Wang**, Dan Hendrycks** ICML 2024 pdf / code. Extended Abstract. I'm supported by an Open Philanthropy AI Fellowship and a PD Soros Fellowship . Jordan and Jacob Steinhardt, and I’m affiliated with the Berkeley AI Research Lab. Steinhardt, "Learning equilibria in matching markets from bandit feedback," in Advances in Neural Information Processing Systems , 2021. Discussants include AI researchers such as Stuart Russell and Eric Horvitz and Tom Dietterich, entrepreneurs such as Elon Musk and Bill Gates, and research institutes such as the Machine Feb 10, 2014 · [Highlights for the busy: de-bunking standard “Bayes is optimal” arguments; frequentist Solomonoff induction; and a description of the online learning framework. Carrera artística. Jacob Steinhardt's profile on the AI Alignment Forum — A community blog devoted to technical AI alignment research The beautiful woodcut Rachel Weeping for her Children is a depiction of another Biblical images belonging to Steinhardt’s Biblical Portfolio; A Voice was heard in Ramah, lamentation and bitter weeping; Rachel weeping for her children refused to be comforted for her, because they were not (Jeremiah 31, 15). Jan 10, 2017 · Latent Variables and Model Mis-specification. Participó en la Secesión de Berlín y fundó el Grupo Pathetiker. Wei, M. In this work, we bridge this gap by presenting an explanation for how GPT-2 small performs a natural language Jul 4, 2022 · In 2021, I created a forecasting prize to predict ML performance on benchmarks in June 2022 (and 2023, 2024, and 2025). 2004 Jacob Steinhardt, UC BerkeleyMay 18, 2022Modern ML systems sometimes undergo qualitative shifts in behavior simply by “scaling up” the number of parameters a Sep 21, 2023 · Alexander Wei, Nika Haghtalab, Jacob Steinhardt Published: 21 Sept 2023, Last Modified: 02 Nov 2023 NeurIPS 2023 oral Everyone Revisions BibTeX Keywords : red teaming, safety, RLHF, large language models Jacob Steinhardt (1887-1968) was born in 1887 in Zerkow, Germany. Prerequisites Jacob Steinhardt joined the Statistics faculty at UC Berkeley in the Fall of 2019, where he is also a member of the Berkeley Artificial Intelligence Lab and of the EECS department. May 23, 2013 · Leaving Bethlehem, 1957, woodcut by Jacob Steinhardt, courtesy Jewish Publication Society, Philadelphia. Before that, I completed my A. Each problem in MATH has a full step-by-step solution which can be used to teach models to generate answer derivations and Jacob Steinhardt is an Assistant Professor in the department of Statistics at UC Berkeley. Aug 5, 2020 · View a PDF of the paper titled Aligning AI With Shared Human Values, by Dan Hendrycks and Collin Burns and Steven Basart and Andrew Critch and Jerry Li and Dawn Song and Jacob Steinhardt View PDF Abstract: We show how to assess a language model's knowledge of basic concepts of morality. Rethinking the Bias-Variance Dilemma for Generalization of Neural Networks Zitong Yang*, Yaodong Yu*, Chong You, Jacob Steinhardt, Yi Ma. Published: December 06, 2012 I’ve spent most of my research career trying to build big, complex nonparametric models; however, I’ve more recently delved into the realm of natural language processing, where how awesome your model looks on paper is irrelevant compared to how well it models your data. in Computer Science from UC Berkeley in 2023, advised by Nika Haghtalab, Michael I. ), machine learning is very good at correctly predicting the label of a new image. We find that while Nov 21, 2019 · Instructor: Jacob Steinhardt (jsteinhardt@berkeley) Lectures: T/Th 12:30-2 (Evans 332) Office Hours: F 11-12 (Evans 325) Syllabus: link IMPORTANT: If you plan to take the class, sign up here to be added to the class mailing list. Dissertations - Jacob Steinhardt Re-examining Metrics for Success in Machine Learning, from Fairness and Interpretability to Protein Design Frances Ding [2024] This is the repository for Measuring Coding Challenge Competence With APPS by Dan Hendrycks*, Steven Basart*, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, and Jacob Steinhardt. Before starting at Berkeley, I received my B. Published: January 10, 2017 Machine learning is very good at optimizing predictions to match an observed signal — for instance, given a dataset of input images and labels of the images (e. at Harvard in 2020, advised by Jelani Nelson and Scott Kominers. Jacob Steinhardt Bio: Jacob is an Assistant Professor of Statistics at UC Berkeley since 2019. #ai #interview #research Jacob Steinhardt believes that future AI systems will be qualitatively different than the ones we know currently. Jacob Steinhardt (Israeli, German, 1887-1968) Opening: $1,000 . In this paper we discuss one such potential impact: the problem of accidents in machine learning systems, defined as unintended and harmful behavior that may emerge from poor design of real-world AI systems. b. Boman, He He, Shi Feng arXiv 2024: Describing Differences in Image Sets with Natural Language Lisa Dunlap *, Yuhui Zhang *, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell *, Jacob Steinhardt *, Joseph E Gonzalez *, Serena Yeung-Levy * CVPR 2024 · Steinhardt, Jacob, 1887-1968 This will search DigiBaeck, a subset of the LBI Catalog concentrating on all of its digitized materials that are available online. The painter and graphic artist Jakob Steinhardt, born in 1887 in the city of Zerkow in Posen, is on of the most important German-Jewish artists of the 20th century. 3 minute read. pdf bib Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level Ruiqi Zhong | Dhruba Ghosh | Dan Jacob Steinhardt Last updated: April 7, 2021 [Lecture 1] 1 What is this course about? Consider the process of building a statistical or machine learning model. Published: March 13, 2013. Jun 24, 2015 · IntroductionThere has been much recent discussion about AI risk, meaning specifically the potential pitfalls (both short-term and long-term) that AI with improved capabilities could create for society. 2 minute read. Jul 5, 2023 · The analysis emphasizes the need for safety-capability parity -- that safety mechanisms should be as sophisticated as the underlying model -- and argues against the idea that scaling alone can resolve these safety failure modes. com Research . Oct 2, 2010 · Humans are very good at correctly generalizing rules across categories (at least, compared to computers). Está enterrado en Nahariya. Jun 28, 2024 · Black-box finetuning is an emerging interface for adapting state-of-the-art language models to user needs. Title. painted in 1935. Each problem in MATH has a full step-by-step JAKOB STEINHARDT. Sort. … This is the repository for Aligning AI With Shared Human Values by Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, and Jacob Steinhardt, published at ICLR 2021. Ninth Publication of the Soncino Society of Friends of the Jewish Book. columbia. Painted in 1934. edu Kathleen McKeown Professor of Computer Science and Director, Data Science Institute, Columbia University Verified email at cs. The world of Jacob Steinhardt’s Ruth could not be more different. How Etchings are Made Last August, my research group created a forecasting contest to predict AI progress on four benchmarks. My (out-dated) research interests include (1) studying "weak-to-strong" generalization, (2) developing unsupervised methods for making language models honest, and (3) understanding when and how high-level abstractions are encoded in representations. Students who don’t sign up by the end of the second week of instruction may be dropped from the class. Machine learning Statistics. PrerequisitesNo formal requirements, but this class will be fast Dec 30, 2013 · Convex Conditions for Strong Convexity. [15] Y. It turns out that things aren’t quite as bad as I thought, but most likely worse than you would expect. Instructor: Jacob Steinhardt (jsteinhardt@berkeley)Lectures: T/Th 12:30-2 (Evans 332)Office Hours: F 11-12 (Evans 325)Syllabus: linkIMPORTANT: If you plan to take the class, sign up here to be added to the class mailing list. Co-founders Jacob Steinhardt and Sarah Schwettmann announced the initiative, emphasizing the importance of using AI to compr Shengbang Tong*, Erik Jones*, Jacob Steinhardt NeurIPS 2023. In this post I’d like to focus in on a specific context for this: inverse reinforcement learning (Ng et al. Stanford University. 14 day money back guarantee. Jacob Steinhardt Paul Christiano John Schulman Dan Mané arXiv preprint arXiv:1606. In this repository, folders contain fine-tuning scripts for individual tasks of the ETHICS benchmark. Yaodong Yu*, Zitong Yang*, Edgar Dobriban, Jacob Steinhardt, Yi Ma. Prerequisites Jacob Steinhardt; Street in Jerusalem; signed J. Eleven “Biblical” woodcut images set in the Land of Israel are seen with the Hebrew text while the separate English text features generic Middle Eastern landscapes. I'm a researcher at Anthropic. SaTML Tutorial Feb 5, 2013 · Eigenvalue Bounds. EMP-SSL: Towards Self-Supervised Learning in One Epoch Jun 28, 2021 · Research ability, like most tasks, is a trainable skill. Going beyond recognition of Feb 2, 2013 · Local KL Divergence. less than 1 minute read. edu Shauli Ravfogel Faculty Fellow, NYU Verified email at nyu. 28, 2024, handout photo. Alexander Pan, Lijie Chen, Jacob Steinhardt pdf / code. Including buyer's premium . As a general note, many of these are about local style rather than global structure; I think that good local style probably contributes substantially more to readability than global structure and is Oct 29, 2024 · UC Berkeley Professor Jacob Steinhardt kicked off the Hinton Lecture Series with a talk about the rapid and unpredictable advancement of AI, and related risks. We will use this to communicate instead of bCourses. oil on canvasboard. Despite this, I think we focus too little on measurement—that is, on ways of extracting data from machine learning models that bears upon important hypotheses Jacob Steinhardt Last updated: November 25, 2019 [Lecture 1] 1 What is this course about? Consider the process of building a statistical or machine learning model. However, such access may also let malicious actors undermine model safety. Add to cart. Sold for: $1,000 . So it’s redacted, but will Jan 21, 2025 · Jacob Steinhardt. Jacob Steinhardt was born in Zerkow, German Empire (now Zerków, Poland). En 1934, Steinhardt abrió una escuela de arte en Sep 7, 2020 · We propose a new test to measure a text model's multitask accuracy. edu Discover and purchase Jacob Steinhardt’s artworks, available for sale. He studies interpretability and explainability, truthfulness, reward hacking and unintended consequences, and forecasting future developments in ML. 06565 (2016) Mar 7, 2024 · Hendrycks et al. @inproceedings{steinhardt2018resilience, author = {Jacob Steinhardt and Moses Charikar and Gregory Valiant}, booktitle = {Innovations in Theoretical Computer Science (ITCS)}, title = {Resilience: A Criterion for Learning in the Presence Jacob Steinhardt Robust Learning: Information Theory and Algorithms . He works on learning equilibria in matching markets, bandit feedback, and other topics in AI and IDNCS. in computer science from Stanford, where I was very fortunate to be advised by Percy Liang . Jacob Steinhardt UC Berkeley ABSTRACT We propose a new test to measure a text model’s multitask accuracy. edu Nika Haghtalab University of California, Berkeley Verified email at berkeley. To demonstrate the challenge of defending finetuning interfaces, we introduce covert malicious finetuning, a method to compromise model safety via finetuning while evading detection. In this post I’m going to explain why LQR by itself is not enough (even for nominally linear systems). The breadth of their collective projects showcases the range of work that will be critical to answer the AI2050 motivating question. ICML 2022: 23549-23588 Jun 9, 2017 · View a PDF of the paper titled Certified Defenses for Data Poisoning Attacks, by Jacob Steinhardt and 2 other authors View PDF Abstract: Machine learning systems trained on user-provided data are susceptible to data poisoning attacks, whereby malicious users inject false training data with the aim of corrupting the learned model. edu Abstract Large language models trained for safety and harmlessness remain susceptible to adversarial misuse, as evidenced by the prevalence of “jailbreak” attacks on early releases of ChatGPT that elicit undesired behavior. We talk about how Jan 31, 2024 · Banghua Zhu, Jiantao Jiao, Jacob Steinhardt, Information and Inference: A Journal of the IMA Theoretically Principled Trade-off between Robustness and Accuracy Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Woodcut. THEORINET’s research agenda is divided in four main thrusts. He continued his studies in Paris in 1908-10 together with Matisse and Steinlen. 2000, Abeel et al. (2021a) Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, and Jacob Steinhardt. Jul 5, 2023 · View a PDF of the paper titled Jailbroken: How Does LLM Safety Training Fail?, by Alexander Wei and Nika Haghtalab and Jacob Steinhardt View PDF Abstract: Large language models trained for safety and harmlessness remain susceptible to adversarial misuse, as evidenced by the prevalence of "jailbreak" attacks on early releases of ChatGPT that Feb 28, 2017 · I’ve spent much of the last few days reading various ICML papers and I find there’s a few pieces of feedback that I give consistently across several papers. A pessimist, an optimist and an AI walk into a Jacob Steinhardt (1887-1968) was an Israeli painter and woodcut artist. dog, cat, etc. Steinhardt was born in Zerków, Germany (now Poland). He has a PhD from Stanford and a bachelor's from MIT, and has worked as a researcher and advisor at OpenAI and Redwood Research. ]Short summary. [14] Y. In NIPS Workshop on Bayesian Nonparametrics, 2011. VIEW OF JERUSALEM. Proceedings of the International Conference on Learning Representations (ICLR), 2021a. A technical paper he wrote is Certified defenses against adversarial examples : a technique for creating robust networks in the sense that an adversary has to shift the input image by some constant in order to cause a My advisors are Michael I. getting them addicted to feeds, leading them to form polarized opinions, recommending false but convincing content). There are many reasons to take this perspective: exponential families give us efficient representations of log-linear models, which is important for continuous domains; they always have conjugate priors, which provide Jacob Steinhardt Stanford University Verified email at cs. See full list on jsteinhardt. Dec 17, 2022 · Jacob Steinhardt is an assistant professor of statistics at the University of California, Berkeley. edu Jacob Steinhardt is a professor of statistics at UC Berkeley who works on artificial intelligence and machine learning. To attain high accuracy on this test, models must possess extensive world knowledge and problem solving ability. Published: February 02, 2013 The KL divergence is an important tool for studying the distance between two probability distributions. By: Jacob Steinhardt Sarah Schwettmann Augmenting Statistical Models with Natural Language Parameters 4 months ago 11 min read Sep 13, 2010 · The goal of this post is to give an overview of Bayesian statistics as well as to correct errors about probability that even mathematically sophisticated people commonly make. Jacob Steinhardt. This essay makes many points, each of which I think is worth reading, but if you are only going to understand one point I think it should be “Myth 5″ below, which describes the online learning framework as a Jacob Steinhardt (1887–1968) (Hebrew: יעקב שטיינהרדט) was a German-born Israeli painter and woodcut artist. 13 minute read. (Author’s note: I got to the end of the post and realized I didn’t fulfill my promise in the previous sentence. Mar 13, 2013 · Jacob Steinhardt; Publications; Teaching; Talks; Blog; Pairwise Independence vs. Jagadeesan, A. Escaping the Village / Mixed media on paper / 15x15 cm Mar 8, 2023 · Auditing large language models for unexpected behaviors is critical to preempt catastrophic deployments, yet remains challenging. Pathological properties of deep bayesian hierarchies. Published: February 05, 2017 Consider the following statements: The shape with the largest volume enclosed by Jacob Steinhardt Stanford University Paul Christiano UC Berkeley John Schulman OpenAI Dan Man e Google Brain Abstract Rapid progress in machine learning and arti cial intelligence (AI) has brought increasing atten-tion to the potential impacts of AI technologies on society. Jacob Steinhardt was born in Zerkow, German Empire (now Żerków, Poland). Jacob Steinhardt Stanford University Verified email at cs. He focuses on making ML systems reliable and aligned with human values, and explores topics such as robustness, reward specification, and scalable alignment. Verified email at cs. Wikidata Q214106 View or edit the Talks and presentations Tutorial: Aligning ML Systems with Human Intent [HTML, clickable links, some formatting errors] (SaTML, 02/10/2023) Sep 28, 2021 · View a PDF of the paper titled Unsolved Problems in ML Safety, by Dan Hendrycks and Nicholas Carlini and John Schulman and Jacob Steinhardt View PDF Abstract: Machine learning (ML) systems are rapidly increasing in size, are acquiring new capabilities, and are increasingly deployed in high-stakes settings. student at UC Berkeley, where I am fortunate to be advised by Jacob Steinhardt and Stuart Russell. Jacob Steinhardt is an Assistant Professor of Statistics and EECS at UC Berkeley, where he also leads BAIR and CLIMB. The theme of this post is going to be things you use all the time (or at least, would use all the time if you were an electrical engineer), but probably haven’t ever thought Ph. Edition of 100. Steinhardt murió en 1968. Abstract: AI systems are a complex pipeline from training data, to learned representations, to observed behaviors. Jacob Steinhardt (Polish, Zerków 1887–1968) 20th century. D. $ 260. Mar 5, 2021 · Many intellectual endeavors require mathematical problem solving, but this skill remains beyond the capabilities of computers. Steinhardt and dated 1934 (lower left) and signed in Hebrew and dated again (lower right) oil on canvas; 23 5/8 by 31 5/8 in. Innovations in Theoretical Computer Science (ITCS), 2018. Analysis: This thrust uses principles from approximation theory, information theory, statistical inference, and robust control to analyze properties of deep neural networks, such as expressivity, interpretability, confidence, fairness and robustness. Pang Wei Koh*, Jacob Steinhardt*, and Percy Liang There is a growing fear that algorithmic recommender systems, such as Facebook, Youtube, Netflix, and Amazon, are having negative effects on society, for instance by manipulating users into behaviors that they wouldn’t endorse (e. Teh. For example, we might aim to find a non-toxic input that starts with "Barack Obama" that a model maps to a toxic Item #47364 *Jacob Steinhardt (1887-1968) was an Israeli painter and woodcut artist. 5 by 65 cm. Jun 20, 2018 · Jacob Steinhardt (1887-1968), Neun Holzschnitte zu ausgewählten Versen aus dem Buche Jeschu ben Elieser ben Sirah; mit einer Einleitung von Arnold Zweig [Nine Woodcuts and Selected Verses from the Book of Ben Sirah–Soncino] (Berlin: Aldus Druck, 1929). edu - Homepage. For collections of Jun 21, 2016 · Rapid progress in machine learning and artificial intelligence (AI) has brought increasing attention to the potential impacts of AI technologies on society. However, most previous work either focuses on simple behaviors in small models, or describes complicated behaviors in larger models with broad strokes. A bayesian interpretation of interpolated Kneser-Ney. Jiaxin Wen, Ruiqi Zhong, Akbir Khan, Ethan Perez, Jacob Steinhardt, Minlie Huang, Samuel R. He attended the School of Art in Berlin in 1906, then studied painting with Louis Corinth and engraving with Hermann Struck in 1907. Oct 31, 2012 · [13] Jacob Steinhardt and Zoubin Ghahramani. Learn More. 1887, Yaacov Steinhardt was born in the then remote, largely Polish town of Zerkow in the Posen District of Germany. 3 cm. 60 by 80. berkeley. in math and M. edu Michael I. Feb 10, 2023 · Aligning ML Systems with Human Intent. Nov 1, 2022 · Research in mechanistic interpretability seeks to explain behaviors of machine learning models in terms of their internal components. in computer science, math, and statistics at Harvard in 2020, where I was advised by Jelani Nelson . (~1. Our method constructs a Jacob Steinhardt – Moses on Mount of Nebo 1962. Technical Reports - Jacob Steinhardt Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaption (EECS-2024-216) Danny Halawi, Alexander Wei, Eric Wallace, Tony Wang, Nika Haghtalab and Jacob Steinhardt Faculty Publications - Jacob Steinhardt Articles in conference proceedings M. Download the APPS dataset here. In this paper we discuss one such Add to Calendar 2023-10-17 14:00:00 2023-10-17 15:00:00 America/New_York EI Seminar - Jacob Steinhardt - Large Language Models as Statisticians Given their complex behavior, diverse skills, and wide range of deployment scenarios, understanding large language models---and especially their failure modes---is important. From 1908 to 1910 he lived in Paris, where he associated with Henri Matisse and Théophile Steinlen, and in 1911 he was in Italy. He is also the founder of Transluce, a non-profit research lab that aims to understand and align machine learning systems with humans. The AI2050 Senior Fellowship supports established leaders who have made significant contributions to their field. Feedback Loops With Language Models Drive In-Context Reward Hacking Alexander Pan, Erik Jones, Meena Jagadeesan, Jacob Steinhardt Jacob Steinhardt (Lead Instructor): Evans 325, 11am-12pm on Tuesdays; Jean-Stanislas Denain (GSI): Evans 428, 2-3pm on Mondays; Frances Ding (GSI): Evans 428, 10-11am on Fridays; Collin Burns (GSI): Evans 428, 10-11am on Wednesdays. M. Israeli. Articles Cited by Public access Co-authors. Publications (asterisk indicates joint or alphabetical authorship) Kensen Shi, Jacob Steinhardt, and Percy Liang FrAngel: Component-Based Synthesis with Control Structures POPL 2019. Login Add Edit Mar 11, 2022 · View a PDF of the paper titled More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize, by Alexander Wei and Wei Hu and Jacob Steinhardt View PDF Abstract: Of theories for why large-scale machine learning models generalize despite being vastly overparameterized, which of their assumptions are needed to Jul 17, 2010 · Last time I talked about linear control, I presented a Linear Quadratic Regulator as a general purpose hammer for solving linear control problems. Jacob Steinhardt UC Berkeley Abstract Machine learning (ML) systems are rapidly increasing in size, are acquiring new capabilities, and are increasingly deployed in high-stakes settings. His main research goal is to make the conceptual advances necessary for machine learning systems to be reliable and aligned with human values. stanford. There are three questions along these lines that I Algorithms rock But sometimes they don’t make sense Segmentation fault Topics: Big-O (runtime analysis), sorting, searching, data structures (heaps, trees, lists), hashing, graph theory (Dijkstra’s algorithm, minimal spanning tree). Oct 29, 2024 · Jacob Steinhardt, an assistant professor of electrical engineering and computer sciences and statistics at UC Berkeley in California, is seen speaking in Toronto an event hosted by the Global Risk Institute in a Monday, Oct. Feb 7, 2017 · In my previous post, “Latent Variables and Model Mis-specification”, I argued that while machine learning is good at optimizing accuracy on observed signals, it has less to say about correctly inferring the values for unobserved variables in a model. International Conference on Machine Learning (ICML), 2020. Jordan, and J. In this post I’d like to take another perspective on log-linear models, by thinking of them as members of an exponential family. We will be holding some of these office hours on zoom for at least the first two week of classes. edu Charlie Snell UC Berkeley Verified email at berkeley. B. In this work, we cast auditing as an optimization problem, where we automatically search for input-output pairs that match a desired target behavior. Instructor: Jacob Steinhardt (jsteinhardt@berkeley)Lectures: T/Th 3:30-5 (Zoom)Office Hours: F 2-3 (Zoom)TA: Serena Wang (serenalwang@berkeley)Office Hours: Th 2:30-3:30 (Zoom)Syllabus: linkIMPORTANT: If you plan to take the class, sign up here to be added to the class mailing list. Aligning AI with shared human values. 1887 - 1968. Jacob Steinhardt joined the Statistics faculty at UC Berkeley in the Fall of 2019, where he is also a member of the Berkeley Artificial Intelligence Lab and of the EECS department. edu Edward Raff Booz Allen Hamilton, UMBC Verified email at bah. student in computer science at Berkeley advised by Jacob Steinhardt and Anca Dragan. His work focuses on making machine learning reliable and aligned with Aug 29, 2022 · Jacob Steinhardt He seems to have a broad array of research interests, but with some focus on robustness to distribution shift. In this post I will examine mechanisms that would allow us to do this in a reasonably rigorous manner. stat. We find that while most recent models have near random-chance accuracy, the very largest GPT-3 model improves Jacob Steinhardt (1887-1968) was an Israeli painter and woodcut artist. Delivered at the 2023 San Francisco Alignment Workshop. Transluce is building open, scalable technology to understand AI systems and steer them in the public interest. His main research interest is in designing machine learning systems that are reliable and aligned with human values. However, while PhD students and other researchers spend a lot of time doing research, we often don’t spend enough time training our research abilities in order to improve. June has ended, so we can see how the forecasters did:. Dec 21, 2012 · In my last post I discussed log-linear models. I will try to make this I am a fourth year Ph. To measure this ability in machine learning models, we introduce MATH, a new dataset of 12,500 challenging competition mathematics problems. Steinhardt GLMs March 9, 2021 1/11 Apr 27, 2021 · Instructor: Jacob Steinhardt (jsteinhardt@berkeley) Lectures: T/Th 3:30-5 Office Hours: F 2-3 TA: Serena Wang (serenalwang@berkeley) Office Hours: Th 2:30-3:30 Syllabus: link IMPORTANT: If you plan to take the class, sign up here to be added to the class mailing list. Jacob Steinhardt, Moses Charikar, Gregory Valiant. Sep 1, 2023 · "Aligning Massive Models: Current and Future Challenges" by Jacob Steinhardt. As with other powerful technologies, safety for ML should be a leading research priority. Large language models trained for safety and harmlessness remain susceptible to adversarial misuse, as evidenced by the prevalence of"jailbreak"attacks on early Publication Topics Data Augmentation,Data Augmentation Techniques,Domain Shift,Style Transfer,Training Distribution,Training Set,Validation Set,Adversarial Training Jacob Steinhardt 1887-1968 Steinhardt, Jakob, Painter and Woodcut Artist. © 2025 Jacob Steinhardt. For many researchers, aside from taking classes and reading papers, most of our training is implicit, through doing research and interacting with mentors (usually a I am a computer science Ph. Deployed multimodal systems can fail in ways that evaluators did not anticipate. You can reach me at fjiahai at berkeley dot edu I have a broad research interest in interpretable AI: whether it’s designing neurosymbolic AI systems or investigating how neural networks represent meaning. Portrait of Fuchs. Hopefully by the end of this post I will convince you that you don’t actually understand probability theory as well as you think, and that probability itself is something worth thinking about. Jun 17, 2021 · Jacob Steinhardt (Google Scholar) is an assistant professor at UC Berkeley. S. Students who don't sign up by the end of the second week of instruction may be dropped from the class. Article content. 17 minute read. Olympiads Countries Tasks Hall of Fame Search. 21 by 25½ in. Jordan, ICML 2019 (Long Oral) Oct 24, 2024 · Transluce, a new nonprofit research lab, has been launched to develop open-source technology aimed at understanding artificial intelligence systems and ensuring they serve the public interest. Before coming to Berkeley, I received an A. Jan 12, 2023 · View a PDF of the paper titled Progress measures for grokking via mechanistic interpretability, by Neel Nanda and Lawrence Chan and Tom Lieberum and Jess Smith and Jacob Steinhardt View PDF Abstract: Neural networks often exhibit emergent behavior, where qualitatively new capabilities arise from scaling up the amount of parameters, training Oct 29, 2024 · Jacob Steinhardt, an assistant professor of electrical engineering and computer sciences and statistics at UC Berkeley in California, is seen speaking in Toronto an event hosted by the Global Risk Oct 1, 2016 · In 2012, a group of AI researchers and safety advocates – Paul Christiano, Jacob Steinhardt, Andrew Critch, Anna Salamon, and Yan Zhang – created the Summer Program in Applied Rationality and Cognition (SPARC) to address the many issues that face quantitatively strong teenagers, including the issue of educational gaps in AI. Jacob Steinhardt – Ruth and Naomi 1962. PrerequisitesNo formal requirements, but this class will be Jacob STEINHARDT | Cited by 4,331 | of Stanford University, CA (SU) | Read 65 publications | Contact Jacob STEINHARDT JACOB STEINHARDT, MIT junior studying Computer Science and Math. He studied at School of Art in Berlin in 1906, and a year later painting with Louis Corinth and engraving with Hermann Struck. In the first lecture of the series, Professor Steinhardt focused on the unprecedented growth and integration of AI into daily life over the last several years, exemplified by large Feb 1, 2023 · Kevin Ro Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, Jacob Steinhardt Published: 01 Feb 2023, Last Modified: 23 Jan 2025 ICLR 2023 poster Readers: Everyone Keywords : Mechanistic Interpretability, Transformers, Language Models, Interpretability, Transparency, Science of ML Department of Statistics 367 Evans Hall, University of California Berkeley, CA 94720-3860 T 510-642-2781 | F 510-642-7892 Accessibility | Nondiscrimination | Privacy Alexander Wei, Wei Hu, Jacob Steinhardt: More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize. He previously worked for Collin Burns. 1 minute read. Xing, Laurent El Ghaoui, Michael I. Jacob Steinhardt is an assistant professor at UC Berkeley and a co-founder of Transluce, a non-profit AI research lab. 48×34 cm. Forecasts were asked to predict state-of-the-art performance (SOTA) on each benchmark for June 30th 2022, 2023, 2024, and 2025. 2021. Previously I worked at OpenAI, and before that I was a PhD student at Berkeley. Era miembro del grupo escolar de Bezalel. Jacob Steinhardt, Percy Liang Stanford University Problem Setup Setting is learning from experts: I n experts, T rounds I For t = 1;:::;T: I Learner chooses distribution w t 2 n over the experts I Nature reveals losses z t 2[ 1;1]n of the experts I Learner suffers loss w> t z t I Goal: minimize Regret def= XT t=1 w> t z t XT t=1 z t;i; (1 Lecture 15: Model Mis-specification in Generalized Linear Models Jacob Steinhardt March 9, 2021 J. Oct 23, 2024 · Assistant Professor Jacob Steinhardt has co-founded Transluce, a non-profit AI research lab. Jacob Steinhardt (1887–1968) was a German-born Israeli painter and woodcut artist. Published: July 26, 2021 Polarization caused by social media is seen by many as an important societal problem, which also overlaps with AI alignment (since social media recommendations come from ML algorithms). He attended the School of Art in Berlin in 1906, then studied painting with Lovis Corinth and engraving with Hermann Struck in 1907. I have written several position papers on research agendas for AI safety, including “Concrete Problems in AI Safety”, “AI Alignment Research Overview”, and “Unsolved Problems in ML Safety”.
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