Candes, Emmanuel

15 publications

ICML 2025 Automated Hypothesis Validation with Agentic Sequential Falsifications Kexin Huang, Ying Jin, Ryan Li, Michael Y. Li, Emmanuel Candes, Jure Leskovec

NeurIPS 2025 Robust Sampling for Active Statistical Inference Puheng Li, Tijana Zrnic, Emmanuel Candes

ICLRW 2025 S1: Simple Test-Time Scaling Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel Candes, Tatsunori Hashimoto

ICLR 2025 Synthetic Continued Pretraining Zitong Yang, Neil Band, Shuangping Li, Emmanuel Candes, Tatsunori Hashimoto

ICML 2024 Active Statistical Inference Tijana Zrnic, Emmanuel Candes

NeurIPS 2023 Conformal PID Control for Time Series Prediction Anastasios Angelopoulos, Emmanuel Candes, Ryan J Tibshirani

NeurIPSW 2023 Model-Free Selective Inference and Its Applications to Drug Discovery Ying Jin, Emmanuel Candes

NeurIPS 2023 Uncertainty Quantification over Graph with Conformalized Graph Neural Networks Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec

NeurIPS 2021 Adaptive Conformal Inference Under Distribution Shift Isaac Gibbs, Emmanuel Candes

NeurIPS 2020 Achieving Equalized Odds by Resampling Sensitive Attributes Yaniv Romano, Stephen Bates, Emmanuel Candes

NeurIPS 2020 Classification with Valid and Adaptive Coverage Yaniv Romano, Matteo Sesia, Emmanuel Candes

NeurIPS 2019 Conformal Prediction Under Covariate Shift Ryan J Tibshirani, Rina Foygel Barber, Emmanuel Candes, Aaditya Ramdas

NeurIPS 2019 Conformalized Quantile Regression Yaniv Romano, Evan Patterson, Emmanuel Candes

NeurIPS 2015 Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems Yuxin Chen, Emmanuel Candes

NeurIPS 2014 A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights Weijie Su, Stephen Boyd, Emmanuel Candes