Botao Hao
21 papers · 2018–2024 · 6 conferences · across top CS/AI conferences
Achievements
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Conference Polyglot
(6)
π
Academic Marathon
(6)
π£
Hot Topic Early Bird
π
Triple Crown
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Keyword Collector
(95)
β‘
Prolific Year
(6)
π
Century Club
(21)
π₯
Unstoppable
(7)
π
Trend Setter
Conferences
NIPS (6)
AISTATS (5)
ICML (5)
JMLR (3)
ALT (1)
ICLR (1)
Top co-authors
Keywords
regret bound
(8)
bayesian regret
(3)
linear function approximation
(3)
linear bandit
(3)
online learning
(3)
multi-armed bandit
(3)
reinforcement learning
(3)
sample efficiency
(3)
neural network
(2)
information-directed sampling
(2)
off-policy evaluation
(2)
sparse learning
(2)
markov decision process
(2)
fitted q-evaluation
(2)
nonparametric regression
(2)
thompson sampling
(2)
contextual bandit
(2)
policy iteration
(2)
expectation maximization
(1)
sequential decision making
(1)
Papers
Efficient Exploration for LLMs
ICML 2024
Leveraging Demonstrations to Improve Online Learning: Quality Matters
ICML 2023
Confident Least Square Value Iteration with Local Access to a Simulator
AISTATS 2022
Efficient local planning with linear function approximation
ALT 2022
Interacting Contour Stochastic Gradient Langevin Dynamics
ICLR 2022
Regret Bounds for Information-Directed Reinforcement Learning
NIPS 2022
Contextual Information-Directed Sampling
ICML 2022
The Neural Testbed: Evaluating Joint Predictions
NIPS 2022
Sparse Tensor Additive Regression
JMLR 2021
Information Directed Sampling for Sparse Linear Bandits
NIPS 2021
Bandit Phase Retrieval
NIPS 2021
Online Sparse Reinforcement Learning
AISTATS 2021
Adaptive Approximate Policy Iteration
AISTATS 2021
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
ICML 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
ICML 2021
Adaptive Exploration in Linear Contextual Bandit
AISTATS 2020
Sparse and Low-rank Tensor Estimation via Cubic Sketchings
AISTATS 2020
High-Dimensional Sparse Linear Bandits
NIPS 2020
Nonparametric Bayesian Aggregation for Massive Data
JMLR 2019
Bootstrapping Upper Confidence Bound
NIPS 2019
Simultaneous Clustering and Estimation of Heterogeneous Graphical Models
JMLR 2018