2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
An Online Feasible Point Method for Benign Generalized Nash Equilibrium Problems
Sarah Sachs, Hedi Hadiji, Tim van Erven +1
We consider a repeatedly played generalized Nash equilibrium game. This induces a multi-agent online learning problem with joint constraints. An important challenge in this setting…
cs.LG2019★ 2 cited
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning
Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven
We aim to design adaptive online learning algorithms that take advantage of any special structure that might be present in the learning task at hand, with as little manual tuning b…
stat.ME2018
Fast Exact Bayesian Inference for Sparse Signals in the Normal Sequence Model
Tim van Erven, Botond Szabo
We consider exact algorithms for Bayesian inference with model selection priors (including spike-and-slab priors) in the sparse normal sequence model. Because the best existing exa…