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2020 – today
- 2021
[c10]Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri:
Corralling Stochastic Bandit Algorithms. AISTATS 2021: 2116-2124- [c9]Christoph Dann, Teodor Vanislavov Marinov, Mehryar Mohri, Julian Zimmert:
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning. NeurIPS 2021: 1-12 - [c8]Teodor Vanislavov Marinov, Julian Zimmert:
The Pareto Frontier of model selection for general Contextual Bandits. NeurIPS 2021: 17956-17967 - [i8]Christoph Dann, Teodor V. Marinov, Mehryar Mohri, Julian Zimmert:
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning. CoRR abs/2107.01264 (2021) - [i7]Teodor V. Marinov, Julian Zimmert:
The Pareto Frontier of model selection for general Contextual Bandits. CoRR abs/2110.13282 (2021) - 2020
- [i6]Raman Arora, Teodor V. Marinov, Enayat Ullah:
Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives. CoRR abs/2002.09609 (2020) - [i5]Raman Arora, Teodor V. Marinov, Mehryar Mohri:
Corralling Stochastic Bandit Algorithms. CoRR abs/2006.09255 (2020)
2010 – 2019
- 2019
- [c7]Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri:
Bandits with Feedback Graphs and Switching Costs. NeurIPS 2019: 10397-10407 - [c6]Raman Arora, Teodor Vanislavov Marinov:
Efficient Convex Relaxations for Streaming PCA. NeurIPS 2019: 10496-10505 - [i4]Raman Arora, Teodor V. Marinov, Mehryar Mohri:
Bandits with Feedback Graphs and Switching Costs. CoRR abs/1907.12189 (2019) - 2018
- [c5]Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora:
Streaming Principal Component Analysis in Noisy Settings. ICML 2018: 3410-3419 - [c4]Raman Arora, Michael Dinitz
, Teodor Vanislavov Marinov, Mehryar Mohri:
Policy Regret in Repeated Games. NeurIPS 2018: 6733-6742 - [c3]Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov, Raman Arora:
Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features. NeurIPS 2018: 7322-7332 - [i3]Enayat Ullah, Poorya Mianjy, Teodor V. Marinov, Raman Arora:
Streaming Kernel PCA with Õ(√n) Random Features. CoRR abs/1808.00934 (2018) - [i2]Raman Arora, Michael Dinitz, Teodor V. Marinov, Mehryar Mohri:
Policy Regret in Repeated Games. CoRR abs/1811.04127 (2018) - 2017
- [c2]Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy, Nati Srebro:
Stochastic Approximation for Canonical Correlation Analysis. NIPS 2017: 4775-4784 - [i1]Raman Arora, Teodor V. Marinov, Poorya Mianjy:
Stochastic Approximation for Canonical Correlation Analysis. CoRR abs/1702.06818 (2017) - 2016
- [c1]Raman Arora, Poorya Mianjy, Teodor V. Marinov:
Stochastic Optimization for Multiview Representation Learning using Partial Least Squares. ICML 2016: 1786-1794
Coauthor Index
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