Yichi Zhou
9 papers · 2017–2024 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
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Topic Evolution
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Core AI
(6)
Optimization & Theory
(5)
Mathematics & Optimization
(3)
Learning Types
(3)
Optimization
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Bayesian & Probabilistic
(2)
Methods
(2)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Models
(1)
Keywords
regret bound
(4)
multi-armed bandit
(3)
zero-sum game
(3)
nash equilibrium
(3)
counterfactual regret minimization
(2)
posterior sampling
(1)
geometric deep learning
(1)
bayesian inference
(1)
variance reduction
(1)
exploration exploitation
(1)
sample complexity
(1)
extensive games
(1)
adversarial setting
(1)
best arm identification
(1)
no-regret learning
(1)
thompson sampling
(1)
graph feedback
(1)
optimistic mirror descent
(1)
generative model
(1)
imperfect information
(1)
Papers
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process
ICML 2024
Efficiently incorporating quintuple interactions into geometric deep learning force fields
NeurIPS 2023
Stochastic No-regret Learning for General Games with Variance Reduction
ICLR 2023
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
ICML 2022
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games
UAI 2020
Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information
ICLR 2020
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information
ICLR 2020
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors
ICML 2018
Identify the Nash Equilibrium in Static Games with Random Payoffs
ICML 2017