Gopalan, Parikshit

13 publications

ICML 2025 Learning to Route LLMs with Confidence Tokens Yu-Neng Chuang, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu, Helen Zhou

ICLR 2025 Provable Uncertainty Decomposition via Higher-Order Calibration Gustaf Ahdritz, Aravind Gollakota, Parikshit Gopalan, Charlotte Peale, Udi Wieder

COLT 2024 Omnipredictors for Regression and the Approximate Rank of Convex Functions Parikshit Gopalan, Princewill Okoroafor, Prasad Raghavendra, Abhishek Sherry, Mihir Singhal

COLT 2024 On Computationally Efficient Multi-Class Calibration Parikshit Gopalan, Lunjia Hu, Guy N. Rothblum

NeurIPS 2023 Agnostically Learning Single-Index Models Using Omnipredictors Aravind Gollakota, Parikshit Gopalan, Adam Klivans, Konstantinos Stavropoulos

NeurIPS 2023 Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration Parikshit Gopalan, Michael Kim, Omer Reingold

NeurIPS 2023 When Does Optimizing a Proper Loss Yield Calibration? Jaroslaw Blasiok, Parikshit Gopalan, Lunjia Hu, Preetum Nakkiran

COLT 2022 Low-Degree Multicalibration Parikshit Gopalan, Michael P Kim, Mihir A Singhal, Shengjia Zhao

ALT 2022 Multicalibrated Partitions for Importance Weights Parikshit Gopalan, Omer Reingold, Vatsal Sharan, Udi Wieder

NeurIPS 2019 PIDForest: Anomaly Detection via Partial Identification Parikshit Gopalan, Vatsal Sharan, Udi Wieder

NeurIPS 2018 Efficient Anomaly Detection via Matrix Sketching Vatsal Sharan, Parikshit Gopalan, Udi Wieder

COLT 2012 Learning Functions of Halfspaces Using Prefix Covers Parikshit Gopalan, Adam R. Klivans, Raghu Meka

COLT 2008 A Query Algorithm for Agnostically Learning DNF? Parikshit Gopalan, Adam Kalai, Adam R. Klivans