firstbacksecondback
47 Results
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 |