Event Based, Near Eye Gaze Tracking Beyond 10, 000Hz. - Anastasios N. Angelopoulos; Julien N. P. Martel; Amit P. S. Kohli; Jörg Conradt; Gordon Wetzstein (CoRR, 2020)

Gaze-Contingent Ocular Parallax Rendering for Virtual Reality. - Robert Konrad 001; Anastasios Angelopoulos; Gordon Wetzstein (ACM Trans. Graph., 2020)

Uncertainty Sets for Image Classifiers using Conformal Prediction. - Anastasios Nikolas Angelopoulos; Stephen Bates; Michael I. Jordan; Jitendra Malik (ICLR, 2021)

Private Prediction Sets. - Anastasios N. Angelopoulos; Stephen Bates; Tijana Zrnic; Michael I. Jordan (CoRR, 2021)

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification. - Anastasios N. Angelopoulos; Stephen Bates (CoRR, 2021)

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control. - Anastasios N. Angelopoulos; Stephen Bates; Emmanuel J. Candès; Michael I. Jordan; Lihua Lei (CoRR, 2021)

Distribution-free, Risk-controlling Prediction Sets. - Stephen Bates; Anastasios Angelopoulos; Lihua Lei; Jitendra Malik; Michael I. Jordan (J. ACM, 2021)

Event-Based Near-Eye Gaze Tracking Beyond 10, 000 Hz. - Anastasios N. Angelopoulos; Julien N. P. Martel; Amit P. S. Kohli; Jörg Conradt; Gordon Wetzstein (IEEE Trans. Vis. Comput. Graph., 2021)

Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. - Anastasios N. Angelopoulos; Amit Pal Singh Kohli; Stephen Bates; Michael I. Jordan; Jitendra Malik; Thayer Alshaabi; Srigokul Upadhyayula; Yaniv Romano (ICML, 2022)

Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets. - Charles Lu 001; Anastasios N. Angelopoulos; Stuart R. Pomerantz (MICCAI (8), 2022)

Semantic uncertainty intervals for disentangled latent spaces. - Swami Sankaranarayanan; Anastasios Angelopoulos; Stephen Bates; Yaniv Romano; Phillip Isola (NeurIPS, 2022)

Online Active Learning with Dynamic Marginal Gain Thresholding. - Mariel A. Werner; Anastasios Angelopoulos; Stephen Bates; Michael I. Jordan (CoRR, 2022)

Conformal prediction for the design problem. - Clara Fannjiang; Stephen Bates; Anastasios N. Angelopoulos; Jennifer Listgarten; Michael I. Jordan (CoRR, 2022)

Conformal Prediction is Robust to Label Noise. - Bat-Sheva Einbinder; Stephen Bates; Anastasios N. Angelopoulos; Asaf Gendler; Yaniv Romano (CoRR, 2022)

Recommendation Systems with Distribution-Free Reliability Guarantees. - Anastasios N. Angelopoulos; Karl Krauth; Stephen Bates; Yixin Wang 002; Michael I. Jordan (COPA, 2023)

Conformal Prediction is Robust to Dispersive Label Noise. - Shai Feldman; Bat-Sheva Einbinder; Stephen Bates; Anastasios N. Angelopoulos; Asaf Gendler; Yaniv Romano (COPA, 2023)

Conformal PID Control for Time Series Prediction. - Anastasios Angelopoulos; Emmanuel J. Candès; Ryan J. Tibshirani (NeurIPS, 2023)

Class-Conditional Conformal Prediction with Many Classes. - Tiffany Ding; Anastasios Angelopoulos; Stephen Bates; Michael I. Jordan; Ryan J. Tibshirani (NeurIPS, 2023)

Prediction-Powered Inference. - Anastasios N. Angelopoulos; Stephen Bates; Clara Fannjiang; Michael I. Jordan; Tijana Zrnic (CoRR, 2023)

Learned, Uncertainty-driven Adaptive Acquisition for Photon-Efficient Multiphoton Microscopy. - Cassandra Tong Ye; Jiashu Han; Kunzan Liu; Anastasios Angelopoulos; Linda Griffith; Kristina Monakhova; Sixian You (CoRR, 2023)

PPI++: Efficient Prediction-Powered Inference. - Anastasios N. Angelopoulos; John C. Duchi; Tijana Zrnic (CoRR, 2023)

Conformal Prediction: A Gentle Introduction. - Anastasios N. Angelopoulos; Stephen Bates (Found. Trends Mach. Learn., 2023)

Conformal Risk Control. - Anastasios Nikolas Angelopoulos; Stephen Bates; Adam Fisch; Lihua Lei; Tal Schuster (ICLR, 2024)

Online conformal prediction with decaying step sizes. - Anastasios Nikolas Angelopoulos; Rina Barber; Stephen Bates (ICML, 2024)

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. - Wei-Lin Chiang; Lianmin Zheng; Ying Sheng 007; Anastasios Nikolas Angelopoulos; Tianle Li; Dacheng Li; Banghua Zhu; Hao Zhang 025; Michael I. Jordan; Joseph E. Gonzalez; Ion Stoica (ICML, 2024)

Conformal Policy Learning for Sensorimotor Control under Distribution Shifts. - Huang Huang; Satvik Sharma; Antonio Loquercio; Anastasios Angelopoulos; Ken Goldberg; Jitendra Malik (ICRA, 2024)

Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions. - Jordan Lekeufack; Anastasios N. Angelopoulos; Andrea Bajcsy; Michael I. Jordan; Jitendra Malik (ICRA, 2024)

Wavefront Randomization Improves Deconvolution. - Amit P. S. Kohli; Anastasios N. Angelopoulos; Laura Waller (CoRR, 2024)

AutoEval Done Right: Using Synthetic Data for Model Evaluation. - Pierre Boyeau; Anastasios N. Angelopoulos; Nir Yosef; Jitendra Malik; Michael I. Jordan (CoRR, 2024)

Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction. - Drew T. Nguyen; Reese Pathak; Anastasios N. Angelopoulos; Stephen Bates; Michael I. Jordan (CoRR, 2024)

Specifications: The missing link to making the development of LLM systems an engineering discipline. - Ion Stoica; Matei Zaharia; Joseph Gonzalez 001; Ken Goldberg; Koushik Sen; Hao Zhang 025; Anastasios Angelopoulos; Shishir G. Patil; Lingjiao Chen; Wei-Lin Chiang; Jared Quincy Davis (CoRR, 2024)

Automatically Adaptive Conformal Risk Control. - Vincent Blot; Anastasios Nikolas Angelopoulos; Michael I. Jordan; Nicolas J.-B. Brunel (AISTATS, 2025)

How to Evaluate Reward Models for RLHF. - Evan Frick; Tianle Li; Connor Chen; Wei-Lin Chiang; Anastasios Nikolas Angelopoulos; Jiantao Jiao; Banghua Zhu; Joseph E. Gonzalez; Ion Stoica (ICLR, 2025)

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards. - Yangsibo Huang; Milad Nasr; Anastasios Angelopoulos; Nicholas Carlini; Wei-Lin Chiang; Christopher A. Choquette-Choo; Daphne Ippolito; Matthew Jagielski; Katherine Lee; Ken Ziyu Liu; Ion Stoica; Florian Tramèr; et al. (CoRR, 2025)

Gradient Equilibrium in Online Learning: Theory and Applications. - Anastasios N. Angelopoulos; Michael I. Jordan; Ryan J. Tibshirani (CoRR, 2025)

Copilot Arena: A Platform for Code LLM Evaluation in the Wild. - Wayne Chi; Valerie Chen; Anastasios Nikolas Angelopoulos; Wei-Lin Chiang; Aditya Mittal; Naman Jain; Tianjun Zhang; Ion Stoica; Chris Donahue; Ameet Talwalkar (CoRR, 2025)

Prompt-to-Leaderboard. - Evan Frick; Connor Chen; Joseph Tennyson; Tianle Li; Wei-Lin Chiang; Anastasios N. Angelopoulos; Ion Stoica (CoRR, 2025)

Search Arena: Analyzing Search-Augmented LLMs. - Mihran Miroyan; Tsung-Han Wu; Logan King; Tianle Li; Jiayi Pan; Xinyan Hu; Wei-Lin Chiang; Anastasios N. Angelopoulos; Trevor Darrell; Narges Norouzi; Joseph E. Gonzalez (CoRR, 2025)

Cost-Optimal Active AI Model Evaluation. - Anastasios N. Angelopoulos; Jacob Eisenstein; Jonathan Berant; Alekh Agarwal; Adam Fisch (CoRR, 2025)

Music Arena: Live Evaluation for Text-to-Music. - Yonghyun Kim; Wayne Chi; Anastasios N. Angelopoulos; Wei-Lin Chiang; Koichi Saito; Shinji Watanabe 001; Yuki Mitsufuji; Chris Donahue (CoRR, 2025)