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36

Efficient and Near-Optimal Online Portfolio Selection

9 March 2025 by Rémi Jézéquel and others

Optimization and Control, Computational Finance

Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit

12 February 2025 by Julien Zhou and others

Machine Learning, Combinatorics

Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits

15 November 2024 by Julien Zhou and others

Machine Learning, Statistics Theory

Minimax Adaptive Boosting for Online Nonparametric Regression

4 October 2024 by Paul Liautaud and others

Statistics Theory, Machine Learning

Structured Prediction in Online Learning

18 June 2024 by Pierre Boudart and others

Machine Learning, Statistics Theory

MetaCURL: Non-stationary Concave Utility Reinforcement Learning

30 May 2024 by Bianca Marin Moreno and others

Machine Learning, Probability

Stop Relying on No-Choice and Do not Repeat the Moves: Optimal, Efficient and Practical Algorithms for Assortment Optimization

29 February 2024 by Aadirupa Saha and Pierre Gaillard

Machine Learning, Information Retrieval

Online Learning Approach for Survival Analysis

7 February 2024 by Camila Fernandez and others

Machine Learning, Data Analysis, Statistics and Probability

Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent

30 November 2023 by Bianca Marin Moreno and others

Optimization and Control, Data Analysis, Statistics and Probability

Adaptive approximation of monotone functions

14 September 2023 by Pierre Gaillard and others at

Machine Learning, Numerical Analysis

Sequential Counterfactual Risk Minimization

25 May 2023 by Houssam Zenati and others

Machine Learning

Reimagining Demand-Side Management with Mean Field Learning

25 May 2023 by Bianca Marin Moreno and others

Optimization and Control, Machine Learning

One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits

26 October 2022 by Pierre Gaillard and others

Machine Learning

Versatile Dueling Bandits: Best-of-both-World Analyses for Online Learning from Preferences

14 February 2022 by Aadirupa Saha and Pierre Gaillard

Machine Learning

Efficient Kernel UCB for Contextual Bandits

11 February 2022 by Houssam Zenati and others

Machine Learning

A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip

27 October 2021 by Mathieu Even and others

Optimization and Control, Machine Learning

Mixability made efficient: Fast online multiclass logistic regression

8 October 2021 by Rémi Jézéquel and others

Machine Learning, Statistics Theory

Online nonparametric regression with Sobolev kernels

13 July 2021 by Oleksandr Zadorozhnyi and others

Statistics Theory, Machine Learning

Dueling Bandits with Adversarial Sleeping

5 July 2021 by Aadirupa Saha and Pierre Gaillard

Machine Learning, Artificial Intelligence

A Continuized View on Nesterov Acceleration

11 February 2021 by Raphaël Berthier and others

Distributed, Parallel, and Cluster Computing, Optimization and Control

Non-stationary Online Regression

13 November 2020 by Anant Raj and others

Machine Learning, Statistics Theory

Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model

27 October 2020 by Raphaël Berthier and others

Machine Learning, Multiagent Systems

Improved Sleeping Bandits with Stochastic Actions Sets and Adversarial Rewards

8 August 2020 by Aadirupa Saha and others

Machine Learning

Efficient improper learning for online logistic regression

20 March 2020 by Rémi Jézéquel and others

Machine Learning, Statistics Theory

Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index

13 March 2020 by Camila Fernandez and others

Machine Learning

Bayesian inference and non-linear extensions of the CIRCE method for quantifying the uncertainty of closure relationships integrated into thermal-hydraulic system codes

9 March 2020 by Guillaume Damblin and Pierre Gaillard

Computation, Applications

Efficient online learning with kernels for adversarial large scale problems

29 May 2019 by Rémi Jézéquel and others

Machine Learning, Statistics Theory

Target Tracking for Contextual Bandits: Application to Demand Side Management

13 May 2019 by Margaux Brégère and others

Machine Learning

Uniform regret bounds over R^d for the sequential linear regression problem with the square loss

25 February 2019 by Pierre Gaillard and others at

Machine Learning, Statistics Theory

Accelerated Gossip in Networks of Given Dimension using Jacobi Polynomial Iterations

18 February 2019 by Raphaël Berthier and others

Multiagent Systems, Distributed, Parallel, and Cluster Computing

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Machine Learning Statistics Theory Optimization and Control Probability Applications Multiagent Systems Data Analysis, Statistics and Probability Numerical Analysis Distributed, Parallel, and Cluster Computing Mathematical Physics Information Retrieval Computational Finance Portfolio Management Artificial Intelligence Computation