Thomas T.C.K. Zhang
Cited by
Cited by
Biwhitening reveals the rank of a count matrix
B Landa, TTCK Zhang, Y Kluger
SIAM journal on mathematics of data science 4 (4), 1420-1446, 2022
Multi-task imitation learning for linear dynamical systems
TT Zhang*, K Kang*, BD Lee*, C Tomlin, S Levine, S Tu, N Matni
Learning for Dynamics and Control Conference, 586-599, 2023
TaSIL: Taylor Series Imitation Learning
D Pfrommer*, T Zhang*, S Tu, N Matni
Advances in Neural Information Processing Systems 35, 20162-20174, 2022
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
TTCK Zhang, LF Toso, J Anderson, N Matni
The Twelfth International Conference on Learning Representations, 2024
Adversarially robust stability certificates can be sample-efficient
TTCK Zhang, S Tu, N Boffi, JJ Slotine, N Matni
Learning for Dynamics and Control Conference, 532-545, 2022
Adversarial tradeoffs in robust state estimation
TTCK Zhang*, BD Lee*, H Hassani, N Matni
2023 American Control Conference (ACC), 4083-4089, 2023
On the continuous Fermat-Weber problem for a convex polygon using Euclidean distance
TTCK Zhang, JG Carlsson
arXiv preprint arXiv:1403.3715, 2014
Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control
BD Lee*, TTCK Zhang*, H Hassani, N Matni
2022 IEEE 61st Conference on Decision and Control (CDC), 3416-3423, 2022
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
BD Lee*, LF Toso*, TT Zhang*, J Anderson, N Matni
arXiv preprint arXiv:2407.05781, 2024
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation
BD Lee, TTCK Zhang, H Hassani, N Matni
arXiv preprint arXiv:2305.16415, 2023
Sparse Optimization on General Atomic Sets: Greedy and Forward-Backward Algorithms
TTCK Zhang
arXiv preprint arXiv:1912.11931, 2019
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
TTCK Zhang, BD Lee, I Ziemann, GJ Pappas, N Matni
Forty-first International Conference on Machine Learning, 0
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