Yihan Zhou
6 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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Hot Topic Early Bird
Conferences
NIPS (3)
AISTATS (1)
COLT (1)
L4DC (1)
Top co-authors
Keywords
active learning
(1)
deep reinforcement learning
(1)
reinforcement learning
(1)
binary classification
(1)
sample complexity
(1)
code generation
(1)
policy learning
(1)
visual grounding
(1)
model predictive control
(1)
partially observable markov decision process
(1)
agnostic learning
(1)
online convex optimization
(1)
quadratic programming
(1)
disagreement coefficient
(1)
lipschitz continuity
(1)
online mirror descent
(1)
regret bound
(1)
generative simulation
(1)
factored markov decision process
(1)
simulation code generation
(1)
Papers
Near-Polynomially Competitive Active Logistic Regression
AISTATS 2025
Towards Fundamental Limits for Active Multi-distribution Learning
COLT 2025
FactorSim: Generative Simulation via Factorized Representation
NIPS 2024
MPC-inspired reinforcement learning for verifiable model-free control
L4DC 2024
A Competitive Algorithm for Agnostic Active Learning
NIPS 2023
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses
NIPS 2020