Variational inference for Monte Carlo objectives

22 February 2016

A. Mnih

Danilo Jimenez Rezende

DRL

BDL

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Papers citing "Variational inference for Monte Carlo objectives"

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Title
Learning to chain-of-thought with Jensen's evidence lower bound Yunhao Tang Sid Wang Rémi Munos BDL OffRL LRM 55 0 0 25 Mar 2025
Optimizing Language Models for Inference Time Objectives using Reinforcement Learning Yunhao Tang Kunhao Zheng Gabriel Synnaeve Rémi Munos 41 1 0 25 Mar 2025
NeuMC -- a package for neural sampling for lattice field theories Piotr Bialas P. Korcyl T. Stebel Dawid Zapolski 39 0 0 14 Mar 2025
Rateless Joint Source-Channel Coding, and a Blueprint for 6G Semantic Communications System Design Saeed R. Khosravirad 62 0 0 10 Feb 2025
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior Tongda Xu Xiyan Cai X. Zhang Xingtong Ge Dailan He Ming Sun Jingjing Liu Y. Zhang Jian Li Yan Wang DiffM 120 1 0 31 Jan 2025
Robust and highly scalable estimation of directional couplings from time-shifted signals Luca Ambrogioni Louis Rouillard Demian Wassermann 57 0 0 28 Jan 2025
RapGuard: Safeguarding Multimodal Large Language Models via Rationale-aware Defensive Prompting Yilei Jiang Yingshui Tan Xiangyu Yue KELM LRM 41 3 0 25 Dec 2024
Streaming Bayes GFlowNets Tiago da Silva Daniel Augusto R. M. A. de Souza Diego Mesquita BDL 41 0 0 08 Nov 2024
Improving Tree Probability Estimation with Stochastic Optimization and Variance Reduction Tianyu Xie Musu Yuan Minghua Deng Cheng Zhang 24 0 0 09 Sep 2024
Sparsifying Parametric Models with L0 Regularization N. Botteghi Urban Fasel 36 0 0 05 Sep 2024
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions Tianyu Xie Frederick A. Matsen IV M. Suchard Cheng Zhang 18 1 0 09 Aug 2024
Revisiting Score Function Estimators for $k$ -Subset Sampling Klas Wijk Ricardo Vinuesa Hossein Azizpour TDI 32 1 0 22 Jul 2024
Multi-level Reliability Interface for Semantic Communications over Wireless Networks Tze-Yang Tung H. Esfahanizadeh Jinfeng Du H. Viswanathan 39 1 0 07 Jul 2024
To be Continuous, or to be Discrete, Those are Bits of Questions Yiran Wang Masao Utiyama 51 2 0 12 Jun 2024
CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver Zhenyu Pan Ammar Gilani En-Jui Kuo Zhuo Liu LRM 43 4 0 05 Mar 2024
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families Vaidotas Šimkus Michael U. Gutmann 37 2 0 05 Mar 2024
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick Lennert De Smet Emanuele Sansone Pedro Zuidberg Dos Martires 22 11 0 21 Nov 2023
Adaptive importance sampling for heavy-tailed distributions via $α$ -divergence minimization Thomas Guilmeau Nicola Branchini Émilie Chouzenoux Victor Elvira 34 2 0 25 Oct 2023
ARTree: A Deep Autoregressive Model for Phylogenetic Inference Tianyu Xie Cheng Zhang 20 4 0 14 Oct 2023
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations Ahmed Khalil Robert Piechocki Raúl Santos-Rodríguez 15 2 0 13 Oct 2023
Improved Variational Bayesian Phylogenetic Inference using Mixtures Oskar Kviman Ricky Molén Jens Lagergren 15 5 0 02 Oct 2023
NAS-X: Neural Adaptive Smoothing via Twisting Dieterich Lawson Michael Y. Li Scott W. Linderman 12 1 0 28 Aug 2023
Training normalizing flows with computationally intensive target probability distributions P. Białas P. Korcyl T. Stebel 13 5 0 25 Aug 2023
Renormalizing Diffusion Models Jordan S. Cotler Semon Rezchikov DiffM AI4CE 37 11 0 23 Aug 2023
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies Takahiro Mimori Michiaki Hamada 18 10 0 07 Jul 2023
Variational latent discrete representation for time series modelling Max H. Cohen M. Charbit Sylvain Le Corff 25 1 0 27 Jun 2023
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers Johannes Zenn Robert Bamler 27 3 0 27 Apr 2023
Bayesian Inference on Brain-Computer Interfaces via GLASS Bangyao Zhao Jane E. Huggins Jian Kang 13 0 0 14 Apr 2023
U-Statistics for Importance-Weighted Variational Inference Javier Burroni Kenta Takatsu Justin Domke Daniel Sheldon 15 1 0 27 Feb 2023
Learnable Topological Features for Phylogenetic Inference via Graph Neural Networks Cheng Zhang 15 14 0 17 Feb 2023
A Variational Perspective on Generative Flow Networks Heiko Zimmermann Fredrik Lindsten Jan Willem van de Meent C. A. Naesseth 22 32 0 14 Oct 2022
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 134 77 0 02 Oct 2022
Multi-Sample Training for Neural Image Compression Tongda Xu Yan Wang Dailan He Chenjian Gao Han-yi Gao Kun Liu Hongwei Qin 31 5 0 28 Sep 2022
Optimization of Annealed Importance Sampling Hyperparameters Shirin Goshtasbpour F. Pérez-Cruz 24 1 0 27 Sep 2022
Variational Open-Domain Question Answering Valentin Liévin Andreas Geert Motzfeldt Ida Riis Jensen Ole Winther OOD BDL 31 8 0 23 Sep 2022
Continuous Mixtures of Tractable Probabilistic Models Alvaro H. C. Correia G. Gala Erik Quaeghebeur Cassio de Campos Robert Peharz TPM 11 18 0 21 Sep 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 18 2 0 20 Jun 2022
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator Ting-Han Fan Ta-Chung Chi Alexander I. Rudnicky Peter J. Ramadge BDL 27 7 0 15 Jun 2022
SIXO: Smoothing Inference with Twisted Objectives Dieterich Lawson Allan Raventós Andrew Warrington Scott W. Linderman BDL 13 15 0 13 Jun 2022
Inducing and Using Alignments for Transition-based AMR Parsing Andrew Drozdov Jiawei Zhou Radu Florian Andrew McCallum Tahira Naseem Yoon Kim Ramón Fernández Astudillo 28 27 0 03 May 2022
A Variational Approach to Bayesian Phylogenetic Inference Cheng Zhang IV FrederickA.Matsen BDL 18 17 0 16 Apr 2022
Adaptive Information Bottleneck Guided Joint Source and Channel Coding for Image Transmission Lunan Sun Yang Yang Mingzhe Chen Caili Guo Walid Saad H. Vincent Poor 25 24 0 12 Mar 2022
Recursive Monte Carlo and Variational Inference with Auxiliary Variables Alexander K. Lew Marco F. Cusumano-Towner Vikash K. Mansinghka BDL 14 10 0 05 Mar 2022
Robust PAC $^m$ : Training Ensemble Models Under Misspecification and Outliers Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 14 5 0 03 Mar 2022
Gradient Estimation with Discrete Stein Operators Jiaxin Shi Yuhao Zhou Jessica Hwang Michalis K. Titsias Lester W. Mackey 27 22 0 19 Feb 2022
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives Pierre-Alexandre Mattei J. Frellsen 29 4 0 26 Jan 2022
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel Yindong Chen Yiwei Wang Lulu Kang Chun Liu 18 1 0 21 Nov 2021
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation Shivani Malhotra Vinay Kumar A. K. Agarwal DRL 11 0 0 10 Nov 2021
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models Michalis K. Titsias Jiaxin Shi BDL DRL 18 5 0 09 Nov 2021
Variational Inference with Holder Bounds Junya Chen Danni Lu Zidi Xiu Ke Bai Lawrence Carin Chenyang Tao 19 6 0 04 Nov 2021