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Poster
Wed 9:00 Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Luca Pesce · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
Poster
Wed 14:00 Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
Rodrigo Veiga · Ludovic Stephan · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
Poster
Thu 9:00 Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu · Jose Blanchet · Lexing Ying
Poster
Wed 14:00 The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
Afonso S Bandeira · Ahmed El Alaoui · Samuel Hopkins · Tselil Schramm · Alexander S Wein · Ilias Zadik