STRUCTURED CONVOLUTIONAL KERNEL NETWORKS FOR AIRLINE CREW SCHEDULING

von YAAKOUBI, YASSINE
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 15 of 16 (2022)

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)

Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution

von Orvieto, Antonio
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 35 of 50 (2023)

Data-Efficient Structured Pruning via Submodular Optimization

von El Halabi, Marwa
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 47 of 50 (2023)

AFFINE INVARIANT ANALYSIS OF FRANK-WOLFE ON STRONGLY CONVEX SETS

von KERDREUX, THOMAS
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

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)

DIFFERENTIABLE CAUSAL DISCOVERY FROM INTERVENTIONAL DATA

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

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)

Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints

von Gallego-Posada, Jose
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 2 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)

STOCHASTIC HAMILTONIAN GRADIENT METHODS FOR SMOOTH GAMES

von Loizou, Nicolas
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 9 of 15 (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)

Bayesian Structure Learning with Generative Flow Networks

von Deleu, Tristan
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (38. : 2022 : Eindhoven) 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022) ; Volume 1 of 3 (2023)