Teodor V. Marinov

According to our database, Teodor V. Marinov authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Offline Imitation Learning from Multiple Baselines with Applications to Compiler Optimization.

Teodor V. Marinov, Alekh Agarwal, Mircea Trofin

CoRR, 2024

2023

A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks.

Jacob D. Abernethy, Alekh Agarwal, Teodor V. Marinov, Manfred K. Warmuth

CoRR, 2023

Leveraging User-Triggered Supervision in Contextual Bandits.

Alekh Agarwal, Claudio Gentile, Teodor V. Marinov

CoRR, 2023

Multiple-policy High-confidence Policy Evaluation.

Christoph Dann, Mohammad Ghavamzadeh, Teodor V. Marinov

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization.

Yi-An Ma, Teodor Vanislavov Marinov, Tong Zhang

CoRR, 2022

Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality.

Teodor Vanislavov Marinov, Mehryar Mohri, Julian Zimmert

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

The Pareto Frontier of model selection for general Contextual Bandits.

Teodor Vanislavov Marinov, Julian Zimmert

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning.

Christoph Dann, Teodor Vanislavov Marinov, Mehryar Mohri, Julian Zimmert

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Corralling Stochastic Bandit Algorithms.

Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives.

Raman Arora, Teodor V. Marinov, Enayat Ullah

CoRR, 2020

2019

Bandits with Feedback Graphs and Switching Costs.

Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Convex Relaxations for Streaming PCA.

Raman Arora, Teodor Vanislavov Marinov

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Streaming Kernel PCA with Õ(√n) Random Features.

Enayat Ullah, Poorya Mianjy, Teodor V. Marinov, Raman Arora

CoRR, 2018

Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features.

Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Policy Regret in Repeated Games.

Raman Arora, Michael Dinitz, Teodor Vanislavov Marinov, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Streaming Principal Component Analysis in Noisy Settings.

Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Stochastic Approximation for Canonical Correlation Analysis.

Raman Arora, Teodor V. Marinov, Poorya Mianjy

CoRR, 2017

Stochastic Approximation for Canonical Correlation Analysis.

Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Stochastic Optimization for Multiview Representation Learning using Partial Least Squares.

Raman Arora, Poorya Mianjy, Teodor V. Marinov

Proceedings of the 33nd International Conference on Machine Learning, 2016