Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities

von Gorbunov, Eduard
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 29 of 50 (2023)

IMPLICIT REGULARIZATION OF DISCRETE GRADIENT DYNAMICS IN LINEAR NEURAL NETWORKS

von Gidel, Gauthier
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 5 of 20 (2020)

The Curse of Unrolling: Rate of Differentiating Through Optimization

von Scieur, Damien
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 23 of 50 (2023)

LINEAR LOWER BOUNDS AND CONDITIONING OF DIFFERENTIABLE GAMES

von Ibrahim, Adam
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)

REDUCING NOISE IN GAN TRAINING WITH VARIANCE REDUCED EXTRAGRADIENT

von Chavdarova, Tatjana
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 1 of 20 (2020)

A single gradient step finds adversarial examples on random two-layers neural networks

von Bubeck, Sebastien
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 13 of 36 (2022)

Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity

von Loizou, Nicolas
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 23 of 36 (2022)

Beyond L1: Faster and Better Sparse Models with skglm

von Bertrand, Quentin
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 50 of 50 (2023)

Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise

von Gorbunov, Eduard
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 41 of 50 (2023)

PAINLESS STOCHASTIC GRADIENT: INTERPOLATION, LINE-SEARCH, AND CONVERGENCE RATES

von Vaswani, Sharan
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 5 of 20 (2020)

REAL WORLD GAMES LOOK LIKE SPINNING TOPS

von Czarnecki, Wojciech M.
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 21 of 27 (2021)

Adversarial Example Games

von Bose, Joey
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 11 of 27 (2021)

NON-NORMAL RECURRENT NEURAL NETWORK (NNRNN): LEARNING LONG TIME DEPENDENCIES WHILE IMPROVING EXPRESSIVITY WITH TRANSIENT DYNAMICS

von Kerg, Giancarlo
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 18 of 20 (2020)