Teodor V. Marinov

CoRR, 2024

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

[BibT_eX]

[DOI]

Alekh Agarwal

Mircea Trofin

CoRR, 2024

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

[BibT_eX]

[DOI]

Jacob D. Abernethy

Alekh Agarwal

Manfred K. Warmuth

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

Leveraging User-Triggered Supervision in Contextual Bandits.

[BibT_eX]

[DOI]

Alekh Agarwal

Claudio Gentile

CoRR, 2023

Multiple-policy High-confidence Policy Evaluation.

[BibT_eX]

[DOI]

Christoph Dann

Mohammad Ghavamzadeh

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

2022

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

[BibT_eX]

[DOI]

Yi-An Ma

Tong Zhang

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Christoph Dann

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

Corralling Stochastic Bandit Algorithms.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

Enayat Ullah

CoRR, 2020

2019

Bandits with Feedback Graphs and Switching Costs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Enayat Ullah

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

Policy Regret in Repeated Games.

[BibT_eX]

[DOI]

Michael Dinitz

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.

[BibT_eX]

[DOI]

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

2017

Stochastic Approximation for Canonical Correlation Analysis.

[BibT_eX]

[DOI]

CoRR, 2017

Stochastic Approximation for Canonical Correlation Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]