Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms

18 October 2016

Papers citing "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms"

50 / 61 papers shown

Title
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing R. Borsoi Deniz Erdoğmuş Tales Imbiriba 21 4 0 03 Oct 2023
Reparameterized Variational Rejection Sampling M. Jankowiak Du Phan DRL BDL 24 1 0 26 Sep 2023
Likelihood-based inference and forecasting for trawl processes: a stochastic optimization approach D. Leonte Almut E. D. Veraart AI4TS 22 0 0 30 Aug 2023
Geometry-Aware Latent Representation Learning for Modeling Disease Progression of Barrett's Esophagus Vivien van Veldhuizen DRL 36 0 0 17 Mar 2023
The Sample Complexity of Approximate Rejection Sampling with Applications to Smoothed Online Learning Adam Block Yury Polyanskiy 36 7 0 09 Feb 2023
A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning Hong-Bo Xie Caoyuan Li Shuliang Wang R. Xu Kerrie Mengersen 16 0 0 18 Jan 2023
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs Alexander K. Lew Mathieu Huot S. Staton Vikash K. Mansinghka 19 20 0 13 Dec 2022
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 27 2 0 15 Nov 2022
Optimization of Annealed Importance Sampling Hyperparameters Shirin Goshtasbpour Fernando Perez-Cruz 27 1 0 27 Sep 2022
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping Russell Z. Kunes Mingzhang Yin Max Land Doron Haviv D. Pe’er Simon Tavaré BDL 24 2 0 12 Aug 2022
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows Lorenz Vaitl K. Nicoli Shinichi Nakajima Pan Kessel 61 24 0 17 Jul 2022
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective Shihan Dou Rui Zheng Ting Wu Songyang Gao Junjie Shan Qi Zhang Yueming Wu Xuanjing Huang 22 8 0 16 Feb 2022
Towards Controllable Agent in MOBA Games with Generative Modeling Shubao Zhang 37 0 0 15 Dec 2021
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise Guodong Zhang Kyle Hsu Jianing Li Chelsea Finn Roger C. Grosse 11 39 0 21 Jul 2021
Variational Rejection Particle Filtering Rahul Sharma S. Banerjee Dootika Vats Piyush Rai BDL 22 0 0 29 Mar 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 30 10 0 14 Mar 2021
Topic Modelling Meets Deep Neural Networks: A Survey He Zhao Dinh Q. Phung Viet Huynh Yuan Jin Lan Du Wray L. Buntine BDL 8 136 0 28 Feb 2021
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick Mehdi Rezaee Francis Ferraro BDL DRL 17 27 0 22 Oct 2020
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein Khai Nguyen S. Nguyen Nhat Ho Tung Pham Hung Bui 16 21 0 05 Oct 2020
Context Reinforced Neural Topic Modeling over Short Texts Jiachun Feng Zusheng Zhang Chengzhuo Ding Yanghui Rao Haoran Xie BDL 14 30 0 11 Aug 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference Hao Zhang Bo Chen Yulai Cong D. Guo Hongwei Liu Mingyuan Zhou BDL 24 27 0 15 Jun 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data Kristopher T. Jensen Ta-Chu Kao Marco Tripodi Guillaume Hennequin DRL 22 31 0 12 Jun 2020
The Power Spherical distribution Nicola De Cao Wilker Aziz 22 28 0 08 Jun 2020
Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study Himanshu Sharma Elise Jennings BDL 27 3 0 23 May 2020
Markovian Score Climbing: Variational Inference with KL(p\|\|q) C. A. Naesseth Fredrik Lindsten David M. Blei 121 54 0 23 Mar 2020
The continuous categorical: a novel simplex-valued exponential family E. Gordon-Rodríguez G. Loaiza-Ganem John P. Cunningham 24 21 0 20 Feb 2020
Generalized Transformation-based Gradient A. Wu Shuangxi Chen Chunming Wu 9 2 0 06 Nov 2019
The Thermodynamic Variational Objective Vaden Masrani T. Le Frank Wood 19 48 0 28 Jun 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 45 397 0 25 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 33 2,290 0 06 Jun 2019
A New Distribution on the Simplex with Auto-Encoding Applications Andrew Stirn Tony Jebara David A. Knowles 14 5 0 28 May 2019
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables Mingzhang Yin Yuguang Yue Mingyuan Zhou 14 23 0 04 May 2019
Elements of Sequential Monte Carlo C. A. Naesseth Fredrik Lindsten Thomas B. Schon 24 95 0 12 Mar 2019
Reparameterizing Distributions on Lie Groups Luca Falorsi P. D. Haan Tim R. Davidson Patrick Forré BDL DRL 29 83 0 07 Mar 2019
Radial and Directional Posteriors for Bayesian Neural Networks Changyong Oh Kamil Adamczewski Mijung Park BDL 15 20 0 07 Feb 2019
Constructing the Matrix Multilayer Perceptron and its Application to the VAE Jalil Taghia Maria Bånkestad Fredrik Lindsten Thomas B. Schon DRL 14 6 0 04 Feb 2019
Variational Bayesian Decision-making for Continuous Utilities Tomasz Kuśmierczyk J. Sakaya Arto Klami 11 21 0 02 Feb 2019
GO Gradient for Expectation-Based Objectives Yulai Cong Miaoyun Zhao Ke Bai Lawrence Carin 29 16 0 17 Jan 2019
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 30 42 0 17 Dec 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 11 110 0 26 Oct 2018
A minimax near-optimal algorithm for adaptive rejection sampling Juliette Achdou Joseph C. Lam Alexandra Carpentier Gilles Blanchard 14 5 0 22 Oct 2018
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks Mingzhang Yin Mingyuan Zhou MQ 26 11 0 30 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 28 116 0 12 Jul 2018
Pathwise Derivatives for Multivariate Distributions M. Jankowiak Theofanis Karaletsos 17 11 0 05 Jun 2018
Pathwise Derivatives Beyond the Reparameterization Trick M. Jankowiak F. Obermeyer 30 110 0 05 Jun 2018
Reparameterization Gradient for Non-differentiable Models Wonyeol Lee Hangyeol Yu Hongseok Yang DRL 17 30 0 01 Jun 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 35 121 0 28 May 2018
Implicit Reparameterization Gradients Michael Figurnov S. Mohamed A. Mnih BDL 13 230 0 22 May 2018
Variational Rejection Sampling Aditya Grover Ramki Gummadi Miguel Lazaro-Gredilla Dale Schuurmans Stefano Ermon BDL 15 32 0 05 Apr 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 16 379 0 03 Apr 2018