Alexander Goldenshluger: Nonparametric estimation of functionals of particle displacement distributions from count data

Alexandre Tsybakov: Benign overfitting and adaptive nonparametric regression

Vladimir Spokoiny: Bayesian optimization by Laplace iterations

Marina Kleptsyna: Estimation of the Hurst parameter from continuous noisy data

Philippe Rigollet: Variational inference via Wasserstein gradient flows

Yuri Golubev: Over-parameterized detection of sparse vectors

Vianney Perchet: An algorithmic solution to the Blotto game using multi-marginal couplings

Alexandre d'Aspremont: Approximation Bounds for Sparse Programs

George Lan: Policy mirror descent for reinforcement learning

Zaid Harchaoui: Stochastic optimization under distributional drift

Fatma Kilinc-Karzan: Using exactness guarantees to design faster algorithms for a class of semidefinite programs

Dmitry Ostrovskii: Volumetric-barrier based approach to online portfolio selection

Konstantin Mishchenko: Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays

Vincent Guigues: Constant Depth Decision Rules for multistage optimization under uncertainty

Julien Mairal: Estimate Sequences for Variance-Reduced Stochastic Composite Optimization

Some of the talks are available at https://drive.google.com/drive/folders/14zvLgqNzdKcBC0GOydfgIghmtbycqOiD?usp=sharing