Eric Zhao

11 papers · 2021–2025 · 5 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (21) 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (15) 🏆 Keyword Champion (2) 💎 Century Club (11) 🔥 Unstoppable (5)

Conferences

NIPS (4) AAAI (2) COLT (2) ICML (2) AISTATS (1)

Top co-authors

Nika Haghtalab (5) Pranjal Awasthi (3) Michael I. Jordan (2) Mingda Qiao (2) Sreenivas Gollapudi (2) Ziyang Li (1) Kunhe Yang (1) Jessica Dai (1) Animashree Anandkumar (1) Zhengdao Chen (1)

Keywords

sample complexity (3) multi-distribution learning (2) game dynamics (2) bounded rationality (1) graph learning (1) in-context learning (1) knowledge representation (1) multimodal learning (1) pac learning (1) vc dimension (1) importance weighting (1) label shift (1) probability calibration (1) sequential prediction (1) multi-objective optimization (1) distributionally robust optimization (1) autoregressive model (1) foundation model (1) group fairness (1) transformer network (1)

Papers

Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification ICML 2025

Learning With Multi-Group Guarantees For Clusterable Subpopulations ICML 2025

Truthfulness of Decision-Theoretic Calibration Measures COLT 2025

Relational Programming with Foundational Models AAAI 2024

Semantic Routing via Autoregressive Modeling NIPS 2024

Truthfulness of Calibration Measures NIPS 2024

Open Problem: The Sample Complexity of Multi-Distribution Learning for VC Classes COLT 2023

Learning to Play General-Sum Games against Multiple Boundedly Rational Agents AAAI 2023

A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning NIPS 2023

On-Demand Sampling: Learning Optimally from Multiple Distributions NIPS 2022

Active Learning under Label Shift AISTATS 2021