Teodor Vanislavov Marinov

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Canonical Correlation Analysis

Convex Relaxation

Top Venues

Publications

Jacob D. Abernethy, Alekh Agarwal, Teodor Vanislavov Marinov, Manfred K. Warmuth
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks. ALT (2024)
Yi-An Ma, Teodor Vanislavov Marinov, Tong Zhang
Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization. CoRR (2022)
Teodor Vanislavov Marinov, Mehryar Mohri, Julian Zimmert
Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality. NeurIPS (2022)
Christoph Dann, Teodor Vanislavov Marinov, Mehryar Mohri, Julian Zimmert
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning. NeurIPS (2021)
Teodor Vanislavov Marinov, Julian Zimmert
The Pareto Frontier of model selection for general Contextual Bandits. NeurIPS (2021)
Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri
Corralling Stochastic Bandit Algorithms. AISTATS (2021)
Raman Arora, Teodor Vanislavov Marinov
Efficient Convex Relaxations for Streaming PCA. NeurIPS (2019)
Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri
Bandits with Feedback Graphs and Switching Costs. NeurIPS (2019)
Raman Arora, Michael Dinitz, Teodor Vanislavov Marinov, Mehryar Mohri
Policy Regret in Repeated Games. NeurIPS (2018)
Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora
Streaming Principal Component Analysis in Noisy Settings. ICML (2018)
Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov, Raman Arora
Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features. NeurIPS (2018)
Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy, Nati Srebro
Stochastic Approximation for Canonical Correlation Analysis. NIPS (2017)