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Poster
Tue 9:00 Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities
Eduard Gorbunov · Adrien Taylor · Gauthier Gidel
Poster
Wed 14:00 Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
Aniket Das · Bernhard Schölkopf · Michael Muehlebach
Poster
Wed 9:00 Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method
Ho Huu Nghia Nguyen · Tan Nguyen · Huyen Vo · Stanley Osher · Thieu Vo
Poster
Thu 14:00 Optimal Rates for Regularized Conditional Mean Embedding Learning
Zhu Li · Dimitri Meunier · Mattes Mollenhauer · Arthur Gretton
Poster
Thu 9:00 High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu · Greg Yang
Poster
Wed 14:00 Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise
Eduard Gorbunov · Marina Danilova · David Dobre · Pavel Dvurechenskii · Alexander Gasnikov · Gauthier Gidel
Poster
Tue 14:00 Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization
Benjamin Dubois-Taine · Francis Bach · Quentin Berthet · Adrien Taylor
Poster
Thu 9:00 Learning Interface Conditions in Domain Decomposition Solvers
Ali Taghibakhshi · Nicolas Nytko · Tareq Uz Zaman · Scott MacLachlan · Luke Olson · Matthew West
Poster
Wed 14:00 Mining Multi-Label Samples from Single Positive Labels
Youngin Cho · Daejin Kim · MOHAMMAD AZAM KHAN · Jaegul Choo
Poster
Tue 14:00 Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Lior Danon · Dan Garber
Poster
Wed 14:00 Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality
Ilyas Fatkhullin · Jalal Etesami · Niao He · Negar Kiyavash