Struminsky, Kirill

5 publications

AISTATS 2024 Differentiable Rendering with Reparameterized Volume Sampling Nikita Morozov, Denis Rakitin, Oleg Desheulin, Dmitry P Vetrov, Kirill Struminsky

NeurIPS 2021 Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces Kirill Struminsky, Artyom Gadetsky, Denis Rakitin, Danil Karpushkin, Dmitry P Vetrov

AAAI 2020 Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov

ICLR 2019 The Deep Weight Prior Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitriy Vetrov, Max Welling

NeurIPS 2018 Quantifying Learning Guarantees for Convex but Inconsistent Surrogates Kirill Struminsky, Simon Lacoste-Julien, Anton Osokin