Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution

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

Refined Convergence Rates for Maximum Likelihood Estimation Under Finite Mixture Models

von Manole, Tudor
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 18 of 33 (2023)

Amortized Projection Optimization for Sliced Wasserstein Generative Models

von Nguyen, Khai
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 48 of 50 (2023)

Beyond black box densities: Parameter learning for the deviated components

von Do, Dat
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 37 of 50 (2023)

Architecture Agnostic Federated Learning for Neural Networks

von Makhija, Disha
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 18 of 33 (2023)

FIXED-SUPPORT WASSERSTEIN BARYCENTERS: COMPUTATIONAL HARDNESS AND FAST ALGORITHM

von Lin, Tianyi
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 7 of 27 (2021)

PROJECTION ROBUST WASSERSTEIN DISTANCE AND RIEMANNIAN OPTIMIZATION

von Lin, Tianyi
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 12 of 27 (2021)

LAMDA: LABEL MATCHING DEEP DOMAIN ADAPTATION

von LE, TRUNG
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 8 of 16 (2022)

ON UNBALANCED OPTIMAL TRANSPORT: AN ANALYSIS OF SINKHORN ALGORITHM

von Pham, Khiem
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 10 of 15 (2021)

Stochastic Multiple Target Sampling Gradient Descent

von Phan, Hoang
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 30 of 50 (2023)

FourierFormer: Transformer Meets Generalized Fourier Integral Theorem

von Nguyen, Tan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 38 of 50 (2023)

Improving Mini-Batch Optimal Transport Via Partial Transportation

von Nguyen, Khai
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 20 of 33 (2023)

Structured Dropout Variational Inference for Bayesian Neural Networks

von Nguyen, Son
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 18 of 36 (2022)

On Robust Optimal Transport: Computational Complexity and Barycenter Computation

von Le, Khang
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 26 of 36 (2022)

On Transportation of Mini-Batches: A Hierarchical Approach

von Nguyen, Khai
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 20 of 33 (2023)

Improving Transformer with an Admixture of Attention Heads

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

Improving Transformers with Probabilistic Attention Keys

von Nguyen, Tam Minh
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 20 of 33 (2023)