Tianhao Wang
33 papers · 2018–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 36% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Tianhao Wang?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Yifei Min, Quanquan Gu, Zhuoran Yang
12 papers
· 2018–2025
· NeurIPS, ICML, AISTATS
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Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
ICLR 2025
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers
NeurIPS 2024
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
ICML 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning
AISTATS 2023
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits
NeurIPS 2023
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
NeurIPS 2022
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
NeurIPS 2022
Learning Stochastic Shortest Path with Linear Function Approximation
ICML 2022
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints
NeurIPS 2021
Variance-Aware Off-Policy Evaluation with Linear Function Approximation
NeurIPS 2021
Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms
AISTATS 2018
Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions
ICML 2018
8 papers whose co-authors appear nowhere else under this name
Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning Benchmarks
ACL 2026
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
ICLR 2025
How Well Can Transformers Emulate In-Context Newton’s Method?
AISTATS 2025
Backdoor Attacks via Machine Unlearning
AAAI 2024
SE/BN Adapter: Parametric Efficient Domain Adaptation for Speaker Recognition
Interspeech 2024
Towards Certified Unlearning for Deep Neural Networks
ICML 2024
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
ICLR 2023
SRNIC: A Scalable Architecture for RDMA NICs
NSDI 2023