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Cyril Zhang
Cyril Zhang
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Learning Linear Dynamical Systems via Spectral Filtering
E Hazan, K Singh, C Zhang
Advances in Neural Information Processing Systems, 6705-6715, 2017
91*2017
Spectral filtering for general linear dynamical systems
E Hazan, H Lee, K Singh, C Zhang, Y Zhang
Advances in Neural Information Processing Systems 31, 2018
682018
Efficient Regret Minimization in Non-Convex Games
E Hazan, K Singh, C Zhang
International Conference on Machine Learning 70, 1433-1441, 2017
642017
Efficient full-matrix adaptive regularization
N Agarwal, B Bullins, X Chen, E Hazan, K Singh, C Zhang, Y Zhang
International Conference on Machine Learning, 102-110, 2019
532019
A combined spectroscopic and photometric stellar activity study of Epsilon Eridani
MJ Giguere, DA Fischer, CXY Zhang, JM Matthews, C Cameron, ...
The Astrophysical Journal 824 (2), 150, 2016
302016
Towards provable control for unknown linear dynamical systems
S Arora, E Hazan, H Lee, K Singh, C Zhang, Y Zhang
International Conference on Learning Representations, Workshop, 2018
222018
Disentangling adaptive gradient methods from learning rates
N Agarwal, R Anil, E Hazan, T Koren, C Zhang
arXiv preprint arXiv:2002.11803, 2020
20*2020
Not-So-Random Features
B Bullins, C Zhang, Y Zhang
International Conference on Learning Representations, 2018
172018
Calibration, entropy rates, and memory in language models
M Braverman, X Chen, SM Kakade, K Narasimhan, C Zhang, Y Zhang
International Conference on Machine Learning, 2020
142020
No-regret prediction in marginally stable systems
U Ghai, H Lee, K Singh, C Zhang, Y Zhang
Conference on Learning Theory, 2020
122020
Pixie: a social chatbot
O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ...
Alexa prize proceedings, 2017
122017
Stochastic Optimization with Laggard Data Pipelines
N Agarwal, R Anil, T Koren, K Talwar, C Zhang
Advances in Neural Information Processing Systems 33, 2020
82020
Acceleration via fractal learning rate schedules
N Agarwal, S Goel, C Zhang
International Conference on Machine Learning, 87-99, 2021
72021
Extreme Tensoring for Low-Memory Preconditioning
X Chen, N Agarwal, E Hazan, C Zhang, Y Zhang
International Conference on Learning Representations, 2020
72020
Understanding contrastive learning requires incorporating inductive biases
N Saunshi, J Ash, S Goel, D Misra, C Zhang, S Arora, S Kakade, ...
arXiv preprint arXiv:2202.14037, 2022
62022
Robust guarantees for learning an autoregressive filter
H Lee, C Zhang
International Conference on Algorithmic Learning Theory, 2020
62020
Machine learning for mechanical ventilation control
D Suo, C Zhang, P Gradu, U Ghai, X Chen, E Minasyan, N Agarwal, ...
arXiv preprint arXiv:2102.06779, 2021
42021
Deluca–A Differentiable Control Library: Environments, Methods, and Benchmarking
P Gradu, J Hallman, D Suo, A Yu, N Agarwal, U Ghai, K Singh, C Zhang, ...
NeurIPS Workshop on Differentiable Computer Vision, Graphics, and Physics, 2020
32020
Sparsity in Partially Controllable Linear Systems
Y Efroni, S Kakade, A Krishnamurthy, C Zhang
International Conference on Machine Learning, 5851-5860, 2022
22022
Anti-Concentrated Confidence Bonuses for Scalable Exploration
JT Ash, C Zhang, S Goel, A Krishnamurthy, S Kakade
International Conference on Learning Representations, 2022
22022
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