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Cyril Zhang
Cyril Zhang
Microsoft Research NYC
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
952017
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
932018
Understanding contrastive learning requires incorporating inductive biases
N Saunshi, J Ash, S Goel, D Misra, C Zhang, S Arora, S Kakade, ...
International Conference on Machine Learning, 19250-19286, 2022
912022
Efficient Regret Minimization in Non-Convex Games
E Hazan, K Singh, C Zhang
International Conference on Machine Learning 70, 1433-1441, 2017
882017
Hidden progress in deep learning: SGD learns parities near the computational limit
B Barak, BL Edelman, S Goel, S Kakade, E Malach, C Zhang
Advances in Neural Information Processing Systems, 2022
842022
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
782019
Transformers learn shortcuts to automata
B Liu, JT Ash, S Goel, A Krishnamurthy, C Zhang
International Conference on Learning Representations, 2023
772023
Inductive biases and variable creation in self-attention mechanisms
BL Edelman, S Goel, S Kakade, C Zhang
International Conference on Machine Learning, 5793-5831, 2022
722022
Disentangling adaptive gradient methods from learning rates
N Agarwal, R Anil, E Hazan, T Koren, C Zhang
arXiv preprint arXiv:2002.11803, 2020
382020
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
352016
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
302020
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
272018
Not-So-Random Features
B Bullins, C Zhang, Y Zhang
International Conference on Learning Representations, 2018
252018
No-regret prediction in marginally stable systems
U Ghai, H Lee, K Singh, C Zhang, Y Zhang
Conference on Learning Theory, 2020
212020
Acceleration via fractal learning rate schedules
N Agarwal, S Goel, C Zhang
International Conference on Machine Learning, 87-99, 2021
202021
Exposing Attention Glitches with Flip-Flop Language Modeling
B Liu, JT Ash, S Goel, A Krishnamurthy, C Zhang
Advances in Neural Information Processing Systems 37, 2023
142023
Pixie: a social chatbot
O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ...
Alexa prize proceedings, 2017
142017
Stochastic Optimization with Laggard Data Pipelines
N Agarwal, R Anil, T Koren, K Talwar, C Zhang
Advances in Neural Information Processing Systems 33, 2020
132020
Sparsity in partially controllable linear systems
Y Efroni, S Kakade, A Krishnamurthy, C Zhang
International Conference on Machine Learning, 5851-5860, 2022
112022
Machine learning for mechanical ventilation control
D Suo, N Agarwal, W Xia, X Chen, U Ghai, A Yu, P Gradu, K Singh, ...
arXiv preprint arXiv:2102.06779, 2021
11*2021
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