AR
Aaron Roth
cs.LGcs.GTcs.DSstat.MLcs.CRecon.THcs.AImath.STstat.THcs.CY
On Valency
published · living versionsW_tc4npsnm·v1 · currentpublished
Preprints & journals
148 papers in the corpus · 2009–2026Delegating Authorization to Misaligned Agents: Coalitional Alignment and Safe Control2609.15803v1 · Natalie Collina, Surbhi Goel, Aaron Roth et al.2026 · 0 citationsarXiv
Instance-Adaptive Online Multicalibration2605.09273v3 · Zhiming Huang, Jamie Morgenstern, Aaron Roth et al.2026 · 0 citationsarXiv
Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review2605.25172v1 · Buxin Su, Jiayao Zhang, Natalie Collina et al.2026 · 0 citationsarXiv
Optimal Lower Bounds for Online Multicalibration2601.05245v2 · Natalie Collina, Jiuyao Lu, Georgy Noarov et al.2026 · 0 citationsarXiv
The Sample Complexity of Multicalibration2604.21923v1 · Natalie Collina, Jiuyao Lu, Georgy Noarov et al.2026 · 0 citationsarXiv
Replicable Reinforcement Learning with Linear Function Approximation2509.08660v3 · Eric Eaton, Marcel Hussing, Michael Kearns et al.2025 · 0 citationsarXiv
Model Agreement via Anchoring2602.23360v1 · Eric Eaton, Surbhi Goel, Marcel Hussing et al.2026 · 0 citationsarXiv
Prior-Agnostic Incentive-Compatible Exploration2602.20465v1 · Ramya Ramalingam, Osbert Bastani, Aaron Roth2026 · 0 citationsarXiv
Personalization Aids Pluralistic Alignment Under Competition2602.13451v1 · Natalie Collina, Surbhi Goel, Aaron Roth et al.2026 · 0 citationsarXiv
Emergent Alignment via Competition2509.15090v2 · Natalie Collina, Surbhi Goel, Aaron Roth et al.2025 · 0 citationsarXiv
Networked Information Aggregation via Machine Learning2507.09683v2 · Michael Kearns, Aaron Roth, Emily Ryu2025 · 0 citationsarXiv
Dynamic Regret Bounds for Online Omniprediction with Long Term Constraints2510.07266v1 · Yahav Bechavod, Jiuyao Lu, Aaron Roth2025 · 0 citationsarXiv
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review2408.13430v3 · Buxin Su, Jiayao Zhang, Natalie Collina et al.2024 · 6 citationsarXiv
Online Omniprediction with Long-Term Constraints2509.11357v1 · Yahav Bechavod, Jiuyao Lu, Aaron Roth2025 · 0 citationsarXiv
Fairness in Criminal Justice Risk Assessments: The State of the Art1703.09207v2 · Richard A. Berk, Hoda Heidari, Shahin Jabbari et al.2017 · 1,049 citationsarXiv
Collaborative Prediction: Tractable Information Aggregation via Agreement2504.06075v1 · Natalie Collina, Ira Globus-Harris, Surbhi Goel et al.2025 · 0 citationsarXiv
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation2410.03461v2 · Tobias Leemann, Periklis Petridis, Giuseppe Vietri et al.2024 · 0 citationsarXiv
Stronger Neyman Regret Guarantees for Adaptive Experimental Design2502.17427v1 · Georgy Noarov, Riccardo Fogliato, Martin Bertran et al.2025 · 0 citationsarXiv
Sample Efficient Omniprediction and Downstream Swap Regret for Non-Linear Losses2502.12564v1 · Jiuyao Lu, Aaron Roth, Mirah Shi2025 · 0 citationsarXiv
The Relationship between No-Regret Learning and Online Conformal Prediction2502.10947v1 · Ramya Ramalingam, Shayan Kiyani, Aaron Roth2025 · 0 citationsarXiv
Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces2502.11828v1 · Eric Eaton, Marcel Hussing, Michael Kearns et al.2025 · 0 citationsarXiv
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents2502.02561v1 · Shayan Kiyani, George Pappas, Aaron Roth et al.2025 · 0 citationsarXiv
Algorithmic Collusion Without Threats2409.03956v2 · Eshwar Ram Arunachaleswaran, Natalie Collina, Sampath Kannan et al.2024 · 2 citationsarXiv
Tractable Agreement Protocols2411.19791v1 · Natalie Collina, Surbhi Goel, Varun Gupta et al.2024 · 0 citationsarXiv
An Elementary Predictor Obtaining $2\sqrt{T}+1$ Distance to Calibration2402.11410v2 · Eshwar Ram Arunachaleswaran, Natalie Collina, Aaron Roth et al.2024 · 0 citationsarXiv
Order of Magnitude Speedups for LLM Membership Inference2409.14513v2 · Rongting Zhang, Martin Bertran, Aaron Roth2024 · 4 citationsarXiv
The Value of Ambiguous Commitments in Multi-Follower Games2409.05608v1 · Natalie Collina, Rabanus Derr, Aaron Roth2024 · 0 citationsarXiv
Balanced Filtering via Disclosure-Controlled Proxies2306.15083v3 · Siqi Deng, Emily Diana, Michael Kearns et al.2023 · 0 citations5th Symposium on Foundations of Responsible Computing (FORC 2024)
Forecasting for Swap Regret for All Downstream Agents2402.08753v2 · Aaron Roth, Mirah Shi2024 · 1 citationarXiv
A New Analysis of Differential Privacy's Generalization Guarantees1909.03577v2 · Christopher Jung, Katrina Ligett, Seth Neel et al.2019 · 7 citationsarXiv
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable2405.20272v1 · Martin Bertran, Shuai Tang, Michael Kearns et al.2024 · 11 citationsarXiv
Oracle-Efficient Reinforcement Learning for Max Value Ensembles2405.16739v1 · Marcel Hussing, Michael Kearns, Aaron Roth et al.2024 · 0 citationsarXiv
Model Ensembling for Constrained Optimization2405.16752v1 · Ira Globus-Harris, Varun Gupta, Michael Kearns et al.2024 · 0 citationsarXiv
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks2405.02225v1 · Lujing Zhang, Aaron Roth, Linjun Zhang2024 · 1 citationarXiv
Multicalibration for Confidence Scoring in LLMs2404.04689v1 · Gianluca Detommaso, Martin Bertran, Riccardo Fogliato et al.2024 · 0 citationsarXiv
Repeated Contracting with Multiple Non-Myopic Agents: Policy Regret and Limited Liability2402.17108v1 · Natalie Collina, Varun Gupta, Aaron Roth2024 · 1 citationarXiv
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning2402.10795v1 · Ira Globus-Harris, Declan Harrison, Michael Kearns et al.2024 · 0 citationsarXiv
Membership Inference Attacks on Diffusion Models via Quantile Regression2312.05140v1 · Shuai Tang, Zhiwei Steven Wu, Sergul Aydore et al.2023 · 2 citationsarXiv
Efficient Prior-Free Mechanisms for No-Regret Agents2311.07754v1 · Natalie Collina, Aaron Roth, Han Shao2023 · 3 citationsarXiv
High-Dimensional Prediction for Sequential Decision Making2310.17651v2 · Georgy Noarov, Ramya Ramalingam, Aaron Roth et al.2023 · 1 citationarXiv
Oracle Efficient Algorithms for Groupwise Regret2310.04652v1 · Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan et al.2023 · 0 citationsarXiv
Gait Design of a Novel Arboreal Concertina Locomotion for Snake-like Robots2309.06000v1 · Shuoqi Chen, Aaron Roth2023 · 1 citationarXiv
Oracle Efficient Online Multicalibration and Omniprediction2307.08999v1 · Sumegha Garg, Christopher Jung, Omer Reingold et al.2023 · 6 citationsarXiv
Improved Differentially Private Regression via Gradient Boosting2303.03451v2 · Shuai Tang, Sergul Aydore, Michael Kearns et al.2023 · 1 citationarXiv
Reply to Sanchéz et al.: Multiplicity does not protect privacy.37094130 · Dick, Travis, Dwork, Cynthia, Kearns, Michael et al.2023 · 1 citationProceedings of the National Academy of Sciences of the United States of America. 2023;120(18):e2304263120
Confidence-Ranked Reconstruction of Census Microdata from Published Statistics2211.03128v2 · Travis Dick, Cynthia Dwork, Michael Kearns et al.2022 · 26 citationsarXiv
The Scope of Multicalibration: Characterizing Multicalibration via Property Elicitation2302.08507v1 · Georgy Noarov, Aaron Roth2023 · 0 citationsarXiv
Online Multivalid Learning: Means, Moments, and Prediction Intervals2101.01739v1 · Varun Gupta, Christopher Jung, Georgy Noarov et al.2021 · 4 citationsarXiv
Multicalibration as Boosting for Regression2301.13767v1 · Ira Globus-Harris, Declan Harrison, Michael Kearns et al.2023 · 1 citationarXiv
Batch Multivalid Conformal Prediction2209.15145v1 · Christopher Jung, Georgy Noarov, Ramya Ramalingam et al.2022 · 1 citationarXiv
Career total: 297 works. 148 are in this corpus.Showing the 50 most recent.
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