Tianhao Wang

12 papers A* 5A 1Journal 6
YearRankTypeTitle / Venue / Authors
2025 A conf
How Well Can Transformers Emulate In-Context Newton's Method?
AISTATS
Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris Papailiopoulos, Jason D. Lee
2025 A* conf
Structured Preconditioners in Adaptive Optimization: A Unified Analysis.
ICML
Shuo Xie, Tianhao Wang, Sashank J. Reddi, Sanjiv Kumar, Zhiyuan Li
2024 J jnl
How Well Can Transformers Emulate In-context Newton's Method?
CoRR
Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris Papailiopoulos, Jason D. Lee
2024 A* conf
The Marginal Value of Momentum for Small Learning Rate SGD.
ICLR
Runzhe Wang, Sadhika Malladi, Tianhao Wang, Kaifeng Lyu, Zhiyuan Li
2023 J jnl
The Marginal Value of Momentum for Small Learning Rate SGD.
CoRR
Runzhe Wang, Sadhika Malladi, Tianhao Wang, Kaifeng Lyu, Zhiyuan Li
2022 A* conf
Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay.
NeurIPS
Zhiyuan Li, Tianhao Wang, Dingli Yu
2022 A* conf
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent.
NeurIPS
Zhiyuan Li, Tianhao Wang, Jason D. Lee, Sanjeev Arora
2022 J jnl
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent.
CoRR
Zhiyuan Li, Tianhao Wang, Jason D. Lee, Sanjeev Arora
2022 J jnl
Universality of Approximate Message Passing algorithms and tensor networks.
CoRR
Tianhao Wang, Xinyi Zhong, Zhou Fan
2022 A* conf
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework.
ICLR
Zhiyuan Li, Tianhao Wang, Sanjeev Arora
2021 J jnl
Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM.
CoRR
Zhou Fan, Roy R. Lederman, Yi Sun, Tianhao Wang, Sheng Xu
2021 J jnl
What Happens after SGD Reaches Zero Loss? -A Mathematical Framework.
CoRR
Zhiyuan Li, Tianhao Wang, Sanjeev Arora