Teodor V. Marinov

16 papers A* 1A 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Design Considerations in Offline Preference-based RL. CoRR Alekh Agarwal, Christoph Dann, Teodor V. Marinov
2024	J	`jnl`	Incentive-compatible Bandits: Importance Weighting No More. CoRR Julian Zimmert, Teodor V. Marinov
2024	J	`jnl`	Offline Imitation Learning from Multiple Baselines with Applications to Compiler Optimization. CoRR Teodor V. Marinov, Alekh Agarwal, Mircea Trofin
2023	J	`jnl`	A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks. CoRR Jacob D. Abernethy, Alekh Agarwal, Teodor V. Marinov, Manfred K. Warmuth
2023	J	`jnl`	Leveraging User-Triggered Supervision in Contextual Bandits. CoRR Alekh Agarwal, Claudio Gentile, Teodor V. Marinov
2023	A	`conf`	Multiple-policy High-confidence Policy Evaluation. AISTATS Christoph Dann, Mohammad Ghavamzadeh, Teodor V. Marinov
2022	J	`jnl`	Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality. CoRR Teodor V. Marinov, Mehryar Mohri, Julian Zimmert
2021	J	`jnl`	Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning. CoRR Christoph Dann, Teodor V. Marinov, Mehryar Mohri, Julian Zimmert
2021	J	`jnl`	The Pareto Frontier of model selection for general Contextual Bandits. CoRR Teodor V. Marinov, Julian Zimmert
2020	J	`jnl`	Corralling Stochastic Bandit Algorithms. CoRR Raman Arora, Teodor V. Marinov, Mehryar Mohri
2020	J	`jnl`	Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives. CoRR Raman Arora, Teodor V. Marinov, Enayat Ullah
2019	J	`jnl`	Bandits with Feedback Graphs and Switching Costs. CoRR Raman Arora, Teodor V. Marinov, Mehryar Mohri
2018	J	`jnl`	Policy Regret in Repeated Games. CoRR Raman Arora, Michael Dinitz, Teodor V. Marinov, Mehryar Mohri
2018	J	`jnl`	Streaming Kernel PCA with Õ(√n) Random Features. CoRR Enayat Ullah, Poorya Mianjy, Teodor V. Marinov, Raman Arora
2017	J	`jnl`	Stochastic Approximation for Canonical Correlation Analysis. CoRR Raman Arora, Teodor V. Marinov, Poorya Mianjy
2016	A*	`conf`	Stochastic Optimization for Multiview Representation Learning using Partial Least Squares. ICML Raman Arora, Poorya Mianjy, Teodor V. Marinov