3.4k citations · 4.9k across the 135 of their papers we have counts for
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stat.ML2017★ 23 cited
Second-Order Kernel Online Convex Optimization with Adaptive Sketching
Daniele Calandriello, Alessandro Lazaric, Michal Valko
Kernel online convex optimization (KOCO) is a framework combining the expressiveness of non-parametric kernel models with the regret guarantees of online learning. First-order KOCO…
stat.ML2017★ 6 cited
Zonotope hit-and-run for efficient sampling from projection DPPs
Guillaume Gautier, Rémi Bardenet, Michal Valko
Determinantal point processes (DPPs) are distributions over sets of items that model diversity using kernels. Their applications in machine learning include summary extraction and…