Yifei Min
13 papers · 2020–2024 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (28) π Interdisciplinary Bridge π Conference Polyglot (6) π Renaissance Researcher (5) π§ Keyword Pioneer
π§
Keyword Pioneer
π
Triple Crown
β‘
Prolific Year
(5)
π
Century Club
(13)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(50)
Conferences
NIPS (6)
ICML (3)
AISTATS (1)
CVPR (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
regret bound
(5)
reinforcement learning
(4)
linear function approximation
(3)
value iteration
(2)
double descent
(2)
adversarial training
(2)
variance reduction
(2)
contextual bandit
(2)
adversarial robustness
(2)
asynchronous communication
(2)
contrastive learning
(2)
semi-supervised learning
(1)
communication complexity
(1)
medical image segmentation
(1)
function approximation
(1)
multi-agent reinforcement learning
(1)
bayesian inference
(1)
domain generalization
(1)
fitted q-iteration
(1)
generalization error
(1)
Papers
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations
CVPR 2024
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
ICLR 2023
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits
NIPS 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning
AISTATS 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
ICML 2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
NIPS 2023
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
NIPS 2022
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
NIPS 2022
Learning Stochastic Shortest Path with Linear Function Approximation
ICML 2022
The curious case of adversarially robust models: More data can help, double descend, or hurt generalization
UAI 2021
Multiple Descent: Design Your Own Generalization Curve
NIPS 2021
Variance-Aware Off-Policy Evaluation with Linear Function Approximation
NIPS 2021
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models
ICML 2020