Eric Zhao
11 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (31) π Keyword Champion (2)
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Keyword Collector
(55)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(6)
Learning Types
(5)
Artificial Intelligence
(4)
Core AI
(4)
Mathematics & Optimization
(3)
Application Areas
(3)
Deep Learning
(2)
Mathematics
(2)
Optimization
(2)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Applications Β· Data Science & Analytics
(1)
Applications Β· Reinforcement Learning
(1)
Keywords
sample complexity
(3)
multi-distribution learning
(2)
game dynamics
(2)
reinforcement learning
(1)
graph learning
(1)
in-context learning
(1)
bounded rationality
(1)
knowledge representation
(1)
multimodal learning
(1)
sequential prediction
(1)
pac learning
(1)
vc dimension
(1)
importance weighting
(1)
label shift
(1)
probability calibration
(1)
truthfulness
(1)
multi-objective optimization
(1)
distributionally robust optimization
(1)
online algorithm
(1)
calibration
(1)
Papers
Learning With Multi-Group Guarantees For Clusterable Subpopulations
ICML 2025
Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification
ICML 2025
Truthfulness of Decision-Theoretic Calibration Measures
COLT 2025
Relational Programming with Foundational Models
AAAI 2024
Semantic Routing via Autoregressive Modeling
NeurIPS 2024
Truthfulness of Calibration Measures
NeurIPS 2024
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
NeurIPS 2023
Learning to Play General-Sum Games against Multiple Boundedly Rational Agents
AAAI 2023
Open Problem: The Sample Complexity of Multi-Distribution Learning for VC Classes
COLT 2023
On-Demand Sampling: Learning Optimally from Multiple Distributions
NeurIPS 2022
Active Learning under Label Shift
AISTATS 2021