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Alexander Rakhlin
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Publications
- 2024
- [c83]Fan Chen, Constantinos Daskalakis, Noah Golowich, Alexander Rakhlin:
Near-Optimal Learning and Planning in Separated Latent MDPs. COLT 2024: 995-1067 - [i79]Fan Chen, Constantinos Daskalakis, Noah Golowich, Alexander Rakhlin:
Near-Optimal Learning and Planning in Separated Latent MDPs. CoRR abs/2406.07920 (2024) - 2023
- [c78]Dean Foster, Dylan J. Foster, Noah Golowich, Alexander Rakhlin:
On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring. COLT 2023: 2678-2792 - [c76]Dylan J. Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari:
Model-Free Reinforcement Learning with the Decision-Estimation Coefficient. NeurIPS 2023 - [i73]Dylan J. Foster, Dean P. Foster, Noah Golowich, Alexander Rakhlin:
On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring. CoRR abs/2305.00684 (2023) - 2022
- [c70]Adam Block, Yuval Dagan, Noah Golowich, Alexander Rakhlin:
Smoothed Online Learning is as Easy as Statistical Learning. COLT 2022: 1716-1786 - [i67]Adam Block, Yuval Dagan, Noah Golowich, Alexander Rakhlin:
Smoothed Online Learning is as Easy as Statistical Learning. CoRR abs/2202.04690 (2022) - [i63]Dylan J. Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari:
A Note on Model-Free Reinforcement Learning with the Decision-Estimation Coefficient. CoRR abs/2211.14250 (2022) - 2018
- [c52]Noah Golowich, Alexander Rakhlin, Ohad Shamir:
Size-Independent Sample Complexity of Neural Networks. COLT 2018: 297-299 - [i43]Chiyuan Zhang, Qianli Liao, Alexander Rakhlin, Brando Miranda, Noah Golowich, Tomaso A. Poggio:
Theory of Deep Learning IIb: Optimization Properties of SGD. CoRR abs/1801.02254 (2018) - 2017
- [i30]Noah Golowich, Alexander Rakhlin, Ohad Shamir:
Size-Independent Sample Complexity of Neural Networks. CoRR abs/1712.06541 (2017)
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