Van Erven, Tim

22 publications

NeurIPS 2025 An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction Tim van Erven, Jack Mayo, Julia Olkhovskaya, Chen-Yu Wei

ALT 2025 An Online Feasible Point Method for Benign Generalized Nash Equilibrium Problems. Sarah Sachs, Hedi Hadiji, Tim Van Erven, Mathias Staudigl

NeurIPS 2025 Sample-Efficient Learning of Concepts with Theoretical Guarantees: From Data to Concepts Without Interventions Hidde Fokkema, Tim van Erven, Sara Magliacane

NeurIPS 2023 Adaptive Selective Sampling for Online Prediction with Experts Rui M. Castro, Fredrik Hellström, Tim van Erven

JMLR 2023 Attribution-Based Explanations That Provide Recourse Cannot Be Robust Hidde Fokkema, Rianne de Heide, Tim van Erven

NeurIPS 2023 First- and Second-Order Bounds for Adversarial Linear Contextual Bandits Julia Olkhovskaya, Jack Mayo, Tim van Erven, Gergely Neu, Chen-Yu Wei

NeurIPS 2023 Towards Characterizing the First-Order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-Sum Matrix Games Hedi Hadiji, Sarah Sachs, Tim van Erven, Wouter M. Koolen

NeurIPS 2022 Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness Sarah Sachs, Hedi Hadiji, Tim van Erven, Cristóbal Guzmán

JMLR 2021 MetaGrad: Adaptation Using Multiple Learning Rates in Online Learning Tim van Erven, Wouter M. Koolen, Dirk van der Hoeven

COLT 2021 Robust Online Convex Optimization in the Presence of Outliers Tim van Erven, Sarah Sachs, Wouter M Koolen, Wojciech Kotlowski

COLT 2020 Open Problem: Fast and Optimal Online Portfolio Selection Tim Van Erven, Dirk Van der Hoeven, Wojciech Kotłowski, Wouter M. Koolen

COLT 2019 Lipschitz Adaptivity with Multiple Learning Rates in Online Learning Zakaria Mhammedi, Wouter M Koolen, Tim Van Erven

COLT 2018 The Many Faces of Exponential Weights in Online Learning Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski

NeurIPS 2016 Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning Wouter M. Koolen, Peter Grünwald, Tim van Erven

NeurIPS 2016 MetaGrad: Multiple Learning Rates in Online Learning Tim van Erven, Wouter M. Koolen

JMLR 2015 Fast Rates in Statistical and Online Learning Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson

COLT 2015 Second-Order Quantile Methods for Experts and Combinatorial Games Wouter M. Koolen, Tim van Erven

COLT 2014 A Second-Order Bound with Excess Losses Pierre Gaillard, Gilles Stoltz, Tim van Erven

JMLR 2014 Follow the Leader if You Can, Hedge if You Must Steven de Rooij, Tim van Erven, Peter D. Grünwald, Wouter M. Koolen

COLT 2014 Follow the Leader with Dropout Perturbations Tim van Erven, Wojciech Kotlowski

NeurIPS 2014 Learning the Learning Rate for Prediction with Expert Advice Wouter M. Koolen, Tim van Erven, Peter Grünwald

JMLR 2012 Mixability Is Bayes Risk Curvature Relative to Log Loss Tim van Erven, Mark D. Reid, Robert C. Williamson