Teodor V. Marinov

According to our database1, Teodor V. Marinov authored at least 20 papers between 2016 and 2024.

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Bibliography

2024
Incentive-compatible Bandits: Importance Weighting No More.
CoRR, 2024

Offline Imitation Learning from Multiple Baselines with Applications to Compiler Optimization.
CoRR, 2024

A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks.
Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023
Leveraging User-Triggered Supervision in Contextual Bandits.
CoRR, 2023

Multiple-policy High-confidence Policy Evaluation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization.
CoRR, 2022

Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Corralling Stochastic Bandit Algorithms.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives.
CoRR, 2020

2019
Bandits with Feedback Graphs and Switching Costs.
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.
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.
CoRR, 2018

Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Policy Regret in Repeated Games.
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.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Stochastic Approximation for Canonical Correlation Analysis.
CoRR, 2017

Stochastic Approximation for Canonical Correlation Analysis.
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.
Proceedings of the 33nd International Conference on Machine Learning, 2016


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