Tim van Erven
Universiteit van Amsterdam
H-index: 19
Europe-Netherlands
Top articles of Tim van Erven
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
The Risks of Recourse in Binary Classification | Hidde Fokkema Damien Garreau Tim van Erven | 2024/4/18 | |
First-and second-order bounds for adversarial linear contextual bandits | Advances in Neural Information Processing Systems | Julia Olkhovskaya Jack Mayo Tim van Erven Gergely Neu Chen-Yu Wei | 2023/12 |
Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games | Advances in Neural Information Processing Systems | Hédi Hadiji Sarah Sachs Tim van Erven Wouter M Koolen | 2024/2/13 |
Adaptive Selective Sampling for Online Prediction with Experts | Advances in Neural Information Processing Systems | Rui Castro Fredrik Hellström Tim van Erven | 2024/2/13 |
Accelerated rates between stochastic and adversarial online convex optimization | arXiv preprint arXiv:2303.03272 | Sarah Sachs Hedi Hadiji Tim van Erven Cristobal Guzman | 2023/3/6 |
Attribution-based explanations that provide recourse cannot be robust | Journal of Machine Learning Research | Hidde Fokkema Rianne de Heide Tim van Erven | 2023 |
Generalization Guarantees via Algorithm-dependent Rademacher Complexity | Sarah Sachs Tim van Erven Liam Hodgkinson Rajiv Khanna Umut Şimşekli | 2023/7/12 | |
Between stochastic and adversarial online convex optimization: Improved regret bounds via smoothness | Sarah Sachs Hédi Hadiji Tim van Erven Cristóbal Guzmán | 2022 | |
Modifying Squint for prediction with expert advice in a changing environment | arXiv preprint arXiv:2209.06826 | Thom Neuteboom Tim van Erven | 2022/9/14 |
Scale-free unconstrained online learning for curved losses | Conference on Learning Theory | Jack J Mayo Hédi Hadiji Tim van Erven | 2022/2/11 |
Distributed online learning for joint regret with communication constraints | Dirk Van der Hoeven Hédi Hadiji Tim van Erven | 2022/3/20 | |
Fast exact Bayesian inference for sparse signals in the normal sequence model | Bayesian Analysis | Tim van Erven Botond Szabó | 2021/9 |
Robust online convex optimization in the presence of outliers | Tim van Erven Sarah Sachs Wouter M Koolen Wojciech Kotlowski | 2021/7/21 | |
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning | Journal of Machine Learning Research | Tim van Erven Wouter M. Koolen Dirk van der Hoeven | 2021 |
Open problem: Fast and optimal online portfolio selection | Tim Van Erven Dirk Van der Hoeven Wojciech Kotłowski Wouter M Koolen | 2020/7/15 | |
Explaining predictions by approximating the local decision boundary | arXiv preprint arXiv:2006.07985 | Georgios Vlassopoulos Tim van Erven Henry Brighton Vlado Menkovski | 2020/6/14 |
Co-Authors
