Thomas T. C. K. Zhang

20 papers A* 4C 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning.
ICML
Thomas T. C. K. Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni
2025 J jnl
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation.
IEEE Trans. Autom. Control.
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2024 A* conf
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples.
ICML
Thomas T. C. K. Zhang, Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni
2024 J jnl
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control.
CoRR
Bruce D. Lee, Leonardo F. Toso, Thomas T. C. K. Zhang, James Anderson, Nikolai Matni
2024 A* conf
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data.
ICLR
Thomas T. C. K. Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni
2023 C conf
Adversarial Tradeoffs in Robust State Estimation.
ACC
Thomas T. C. K. Zhang, Bruce D. Lee, Hamed Hassani, Nikolai Matni
2023 J jnl
Meta-Learning Operators to Optimality from Multi-Task Non-IID Data.
CoRR
Thomas T. C. K. Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni
2023 — conf
Multi-Task Imitation Learning for Linear Dynamical Systems.
L4DC
Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni
2023 J jnl
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation.
CoRR
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2022 — conf
Adversarially Robust Stability Certificates can be Sample-Efficient.
L4DC
Thomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi, Jean-Jacques E. Slotine, Nikolai Matni
2022 J jnl
Biwhitening Reveals the Rank of a Count Matrix.
SIAM J. Math. Data Sci.
Boris Landa, Thomas T. C. K. Zhang, Yuval Kluger
2022 J jnl
Multi-Task Imitation Learning for Linear Dynamical Systems.
CoRR
Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni
2022 — conf
Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control.
CDC
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2022 J jnl
Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control.
CoRR
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2022 A* conf
TaSIL: Taylor Series Imitation Learning.
NeurIPS
Daniel Pfrommer, Thomas T. C. K. Zhang, Stephen Tu, Nikolai Matni
2022 J jnl
TaSIL: Taylor Series Imitation Learning.
CoRR
Daniel Pfrommer, Thomas T. C. K. Zhang, Stephen Tu, Nikolai Matni
2021 J jnl
Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation.
CoRR
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2021 J jnl
Adversarially Robust Stability Certificates can be Sample-Efficient.
CoRR
Thomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi, Jean-Jacques E. Slotine, Nikolai Matni
2021 J jnl
Biwhitening Reveals the Rank of a Count Matrix.
CoRR
Boris Landa, Thomas T. C. K. Zhang, Yuval Kluger
2014 J jnl
On the continuous Fermat-Weber problem for a convex polygon using Euclidean distance.
CoRR
Thomas T. C. K. Zhang, John Gunnar Carlsson