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Gergely Neu
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44
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis
17 October 2024 by
Gábor Lugosi
and
Gergely Neu
Machine Learning
Online-to-PAC generalization bounds under graph-mixing dependencies
11 October 2024 by
Baptiste Abélès
and
others
Machine Learning
Optimistic Information Directed Sampling
27 June 2024 by
Gergely Neu
and
others
at
Universitat Pompeu Fabra
Machine Learning
Generalization bounds for mixing processes via delayed online-to-PAC conversions
18 June 2024 by
Baptiste Abélès
and
others
Machine Learning
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
11 June 2024 by
Sergio Calo
and
others
at
Universitat Pompeu Fabra
Machine Learning
,
Optimization and Control
Dealing with unbounded gradients in stochastic saddle-point optimization
7 June 2024 by
Gergely Neu
and
Nneka Okolo
Machine Learning
,
Optimization and Control
Offline RL via Feature-Occupancy Gradient Ascent
22 May 2024 by
Gergely Neu
and
Nneka Okolo
Machine Learning
Adversarial Contextual Bandits Go Kernelized
2 October 2023 by
Gergely Neu
and
others
Machine Learning
Importance-Weighted Offline Learning Done Right
27 September 2023 by
Germano Gabbianelli
and
others
Machine Learning
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits
22 May 2023 by
Julia Olkhovskaya
and
others
Machine Learning
Offline Primal-Dual Reinforcement Learning for Linear MDPs
22 May 2023 by
Germano Gabbianelli
and
others
Machine Learning
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits
6 March 2023 by
Gergely Neu
and
others
Machine Learning
Optimistic Planning by Regularized Dynamic Programming
3 March 2023 by
Antoine Moulin
and
Gergely Neu
Machine Learning
Efficient Global Planning in Large MDPs via Stochastic Primal-Dual Optimization
31 January 2023 by
Gergely Neu
and
Nneka Okolo
Machine Learning
,
Optimization and Control
Sufficient Exploration for Convex Q-learning
17 October 2022 by
Fan Lu
and
others
Optimization and Control
,
Machine Learning
Proximal Point Imitation Learning
13 October 2022 by
Luca Viano
and
others
Machine Learning
Online Learning with Off-Policy Feedback
18 July 2022 by
Germano Gabbianelli
and
others
Machine Learning
Generalization Bounds via Convex Analysis
16 June 2022 by
Gergely Neu
and
Gábor Lugosi
Machine Learning
Robustness and risk management via distributional dynamic programming
28 December 2021 by
Mastane Achab
and
Gergely Neu
Machine Learning
,
Artificial Intelligence
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent
20 July 2021 by
Gergely Neu
Machine Learning
Online learning in MDPs with linear function approximation and bandit feedback
12 June 2021 by
Gergely Neu
and
Julia Olkhovskaya
Machine Learning
Logistic Q-Learning
25 February 2021 by
Joan Bas-Serrano
and
others
Machine Learning
,
Artificial Intelligence
A Unifying View of Optimism in Episodic Reinforcement Learning
3 July 2020 by
Gergely Neu
and
Ciara Pike-Burke
Machine Learning
Efficient and Robust Algorithms for Adversarial Linear Contextual Bandits
2 July 2020 by
Gergely Neu
and
Julia Olkhovskaya
Machine Learning
Fast Rates for Online Prediction with Abstention
20 June 2020 by
Gergely Neu
and
Nikita Zhivotovskiy
Machine Learning
,
Statistics Theory
Faster saddle-point optimization for solving large-scale Markov decision processes
10 January 2020 by
Joan Bas-Serrano
and
Gergely Neu
at
Universitat Pompeu Fabra
Optimization and Control
,
Machine Learning
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
19 June 2019 by
Hugo Penedones
and
others
Machine Learning
,
Artificial Intelligence
Beating SGD Saturation with Tail-Averaging and Minibatching
26 May 2019 by
Nicole Mücke
and
others
Machine Learning
Bandit Principal Component Analysis
8 February 2019 by
Wojciech Kotłowski
and
Gergely Neu
Machine Learning
Potential and Pitfalls of Multi-Armed Bandits for Decentralized Spatial Reuse in WLANs
11 June 2018 by
Francesc Wilhelmi
and
others
Networking and Internet Architecture
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Topics
Machine Learning
Optimization and Control
Artificial Intelligence
Networking and Internet Architecture
Statistics Theory