Botao Hao
21 papers · 2018–2024 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🗺️ Taxonomy Completionist (44) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
👑
Triple Crown
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
📈
Trend Setter
🗃️
Keyword Collector
(103)
Top co-authors
Research topics
Machine Learning
(20)
Learning Types
(15)
Optimization & Theory
(15)
Mathematics & Optimization
(8)
Reinforcement Learning
(6)
Methods
(6)
Optimization
(6)
Artificial Intelligence
(5)
Core Methods
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Applications
(2)
Core AI
(2)
Mathematics
(2)
Data Science & Analytics
(1)
Keywords
regret bound
(8)
online learning
(3)
sample efficiency
(3)
multi-armed bandit
(3)
reinforcement learning
(3)
linear bandit
(3)
linear function approximation
(3)
thompson sampling
(3)
information-directed sampling
(3)
bayesian regret
(3)
fitted q-evaluation
(2)
contextual bandit
(2)
neural network
(2)
off-policy evaluation
(2)
sparse learning
(2)
policy iteration
(2)
posterior sampling
(2)
nonparametric regression
(2)
markov decision process
(2)
expectation maximization
(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
Contextual Information-Directed Sampling
ICML 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
NeurIPS 2022
The Neural Testbed: Evaluating Joint Predictions
NeurIPS 2022
Adaptive Approximate Policy Iteration
AISTATS 2021
Bandit Phase Retrieval
NeurIPS 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
ICML 2021
Information Directed Sampling for Sparse Linear Bandits
NeurIPS 2021
Online Sparse Reinforcement Learning
AISTATS 2021
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
ICML 2021
Sparse Tensor Additive Regression
JMLR 2021
Adaptive Exploration in Linear Contextual Bandit
AISTATS 2020
High-Dimensional Sparse Linear Bandits
NeurIPS 2020
Sparse and Low-rank Tensor Estimation via Cubic Sketchings
AISTATS 2020
Bootstrapping Upper Confidence Bound
NeurIPS 2019
Nonparametric Bayesian Aggregation for Massive Data
JMLR 2019
Simultaneous Clustering and Estimation of Heterogeneous Graphical Models
JMLR 2018