88 citations · 171 across the 39 of their papers we have counts for
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Open Problem: Tight Online Confidence Intervals for RKHS Elements
Sattar Vakili, Jonathan Scarlett, Tara Javidi
Confidence intervals are a crucial building block in the analysis of various online learning problems. The analysis of kernel based bandit and reinforcement learning problems utili…
Uniform Generalization Bounds for Overparameterized Neural Networks
Sattar Vakili, Michael Bromberg, Jezabel Garcia +2
An interesting observation in artificial neural networks is their favorable generalization error despite typically being extremely overparameterized. It is well known that the clas…
Optimal Order Simple Regret for Gaussian Process Bandits
Sattar Vakili, Nacime Bouziani, Sepehr Jalali +2
Consider the sequential optimization of a continuous, possibly non-convex, and expensive to evaluate objective function . The problem can be cast as a Gaussian Process (GP) band…