Jacob Steinhardt — all works
- Estimation of SARS-CoV-2 Infection Prevalence in Santa Clara County ↗medRxiv · no summary yetSteve Yadlowsky, Nigam Haresh Shah, Jacob Steinhardt2020 · 3 citations
- Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision ↗arXiv (Cornell University) · no summary yetYe, Yaowen, Cassidy Laidlaw, Jacob Steinhardt2025 · 2 citations
- Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations ↗arXiv (Cornell University) · no summary yetYongyi Yang, Jacob Steinhardt, Wei Ping Hu2023 · 2 citations
- Agnostic learning with unknown utilities ↗arXiv (Cornell University) · no summary yetKush Bhatia et al.2021 · 2 citations
- Grounding Representation Similarity with Statistical Testing ↗Zenodo (CERN European Organization for Nuclear Research) · no summary yetFrances Ding, Jean-Stanislas Denain, Jacob Steinhardt2021 · 2 citations
- Derangements with Ascending and Descending Blocks ↗arXiv (Cornell University) · no summary yetJacob Steinhardt2009 · 2 citations
- Cayley graphs formed by conjugate generating sets of S_n ↗arXiv (Cornell University) · no summary yetJacob Steinhardt2007 · 2 citations
- ADAG: Automatically Describing Attribution Graphs ↗arXiv (Cornell University) · no summary yetAryaman Arora et al.2026 · 1 citation
- Log analysis is necessary for credible evaluation of AI agents ↗arXiv (Cornell University) · no summary yetPeter Kirgis et al.2026 · 1 citation
- Uncovering Gaps in How Humans and LLMs Interpret Subjective Language ↗arXiv (Cornell University) · no summary yetErik Jones, Arjun Patrawala, Jacob Steinhardt2025 · 1 citation
- Incentivizing High-Quality Content in Online Recommender Systems ↗arXiv (Cornell University) · no summary yetXinyan Hu et al.2023 · 1 citation
- A3D: Studying Pretrained Representations with Programmable Datasets ↗IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yetYe Wang et al.2022 · 1 citation
- Learning a Generative Meta-Model of LLM Activations ↗arXiv (Cornell University) · no summary yetGrace Luo et al.2026
- No More Free Lunch: Corpus Task Complexity Matters as Corpora Grow ↗arXiv (Cornell University) · no summary yetPrasann Singhal et al.2026
- Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems ↗arXiv (Cornell University) · no summary yetYaowen Ye, Jacob Steinhardt2026
- LLM Layers Immediately Correct Each Other ↗neural information processing systems · no summary yetArjun Patrawala et al.2025
- Safety vs. Performance: How Multi-Objective Learning Reduces Barriers to Market Entry ↗RePEc: Research Papers in Economics · no summary yetMeena Jagadeesan, Michael I. Jordan, Jacob Steinhardt2024
- Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws ↗arXiv (Cornell University) · no summary yetKush Bhatia, Wenshuo Guo, Jacob Steinhardt2023
- A Critical Analysis of Distribution Shift ↗no summary yetDan Hendrycks et al.2021
- The Effect of Model Size on Worst-Group Generalization ↗arXiv (Cornell University) · no summary yetAlan Pham et al.2021
- Technical perspective: Robust statistics tackle new problems ↗Communications of the ACM · no summary yetJacob Steinhardt2021
- Incarceration And COVID-19 ↗Health Affairs · no summary yetLeah Pierson et al.2020
- Frangel:制御構造を用いたコンポーネントベース合成【JST・京大機械翻訳】 ↗Proceedings of the ACM on Programming Languages · no summary yetShi Kensen, Jacob Steinhardt, Percy Liang2019
- A Greedy Framework for First-Order Optimization ↗no summary yetJacob Steinhardt, Jonathan H. Huggins2016
- Pathological Properties of Deep Bayesian Hierarchies ↗no summary yetJacob Steinhardt, Zoubin Ghahramani2013
- Beyond Bayesians and Frequentists ↗no summary yetJacob Steinhardt2012
- Flexible Priors for Deep Hierarchies ↗no summary yetJacob Steinhardt2011
- The Hydrodynamic Cart-Pole: Experiments in Machine Learning and Control of Fluid-Body Interactions ↗APS · no summary yetJohn W. Roberts et al.2010
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