Eric Zhao
11 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (21)
π
Conference Polyglot
(5)
π
Cross-Pollinator
(15)
π
Keyword Champion
(2)
π
Century Club
(11)
π₯
Unstoppable
(5)
Conferences
NIPS (4)
AAAI (2)
COLT (2)
ICML (2)
AISTATS (1)
Top co-authors
Keywords
sample complexity
(3)
game dynamics
(2)
multi-distribution learning
(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