Zhao, Eric

12 publications

NeurIPS 2025 From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning Eric Zhao, Pranjal Awasthi, Nika Haghtalab

ICML 2025 Learning with Multi-Group Guarantees for Clusterable Subpopulations Jessica Dai, Nika Haghtalab, Eric Zhao

ICML 2025 Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification Eric Zhao, Pranjal Awasthi, Sreenivas Gollapudi

COLT 2025 Truthfulness of Decision-Theoretic Calibration Measures Mingda Qiao, Eric Zhao

AAAI 2024 Relational Programming with Foundational Models Ziyang Li, Jiani Huang, Jason Liu, Felix Zhu, Eric Zhao, William Dodds, Neelay Velingker, Rajeev Alur, Mayur Naik

NeurIPS 2024 Semantic Routing via Autoregressive Modeling Eric Zhao, Pranjal Awasthi, Zhengdao Chen, Sreenivas Gollapudi, Daniel Delling

NeurIPS 2024 Truthfulness of Calibration Measures Nika Haghtalab, Mingda Qiao, Kunhe Yang, Eric Zhao

NeurIPS 2023 A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning Nika Haghtalab, Michael I. Jordan, Eric Zhao

AAAI 2023 Learning to Play General-Sum Games Against Multiple Boundedly Rational Agents Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng

COLT 2023 Open Problem: The Sample Complexity of Multi-Distribution Learning for VC Classes Pranjal Awasthi, Nika Haghtalab, Eric Zhao

NeurIPS 2022 On-Demand Sampling: Learning Optimally from Multiple Distributions Nika Haghtalab, Michael I. Jordan, Eric Zhao

AISTATS 2021 Active Learning Under Label Shift Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue