ARMS: ANTITHETIC-REINFORCE-MULTI-SAMPLE GRADIENT FOR BINARY VARIABLES

von DIMITRIEV, ALEKSANDAR
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 4 of 16 (2022)

CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator

von Dimitriev, Alek
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 16 of 36 (2022)

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions

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

THOMPSON SAMPLING VIA LOCAL UNCERTAINTY

von Wang, Zhendong
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 13 of 15 (2021)

CARD: Classification and Regression Diffusion Models

von Han, Xizewen
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 24 of 50 (2023)

Convex Polytope Trees

von Armandpour, Mohammadreza
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)

Implicit Distributional Reinforcement Learning

von Yue, Yuguang
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

BAYESIAN ATTENTION MODULES

von Fan, Xinjie
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 20 of 27 (2021)

BAYESIAN ATTENTION BELIEF NETWORKS

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

RECURRENT HIERARCHICAL TOPIC-GUIDED RNN FOR LANGUAGE GENERATION

von Guo, Dandan
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 5 of 15 (2021)

A Unified Framework for Alternating Offline Model Training and Policy Learning

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

Regularizing a Model-Based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning

von Yang, Shentao
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 30 of 33 (2023)

POISSON-RANDOMIZED GAMMA DYNAMICAL SYSTEMS

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

A Variational Edge Partition Model for Supervised Graph Representation Learning

von He, Yilin
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 17 of 50 (2023)

Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport

von Guo, Dandan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 10 of 50 (2023)

Alignment Attention by Matching Key and Query Distributions

von Zhang, Shujian
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 16 of 36 (2022)

PAIRWISE SUPERVISED HASHING WITH BERNOULLI VARIATIONAL AUTO-ENCODER AND SELF-CONTROL GRADIENT ESTIMATOR

von DADANEH, SIAMAK ZAMANI
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (36. : 2020 : Online) 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) ; Volume 2 of 3 (2021)

HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding

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

VARIATIONAL GRAPH RECURRENT NEURAL NETWORKS

von Hajiramezanali, Ehsan
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 14 of 20 (2020)

SEMI-IMPLICIT GRAPH VARIATIONAL AUTO-ENCODERS

von Hasanzadeh, Arman
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 14 of 20 (2020)