21 citations · 21 across the 3 of their papers we have counts for
3 papers
stat.ML2025
Splat Regression Models
Mara Daniels, Philippe Rigollet
We introduce a highly expressive class of function approximators called Splat Regression Models. Model outputs are mixtures of heterogeneous and anisotropic bump functions, termed…
cs.LG2025
The power of fine-grained experts: Granularity boosts expressivity in Mixture of Experts
Enric Boix-Adsera, Philippe Rigollet
Mixture-of-Experts (MoE) layers are increasingly central to frontier model architectures. By selectively activating parameters, they reduce computational cost while scaling total p…
math.ST2013★ 21 cited
Bounded regret in stochastic multi-armed bandits
Sébastien Bubeck, Vianney Perchet, Philippe Rigollet
We study the stochastic multi-armed bandit problem when one knows the value of an optimal arm, as a well as a positive lower bound on the smallest positive gap . W…