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Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

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Title
Addressing the Inconsistency in Bayesian Deep Learning via Generalized Laplace Approximation Yinsong Chen Samson S. Yu Zhong Li Chee Peng Lim BDL 80 0 0 01 Jul 2025
Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction Sina Aghaee Dabaghan Fard Minhee Kim Akash Deep Jaesung Lee 7 0 0 20 Jun 2025
Variational Inference with Mixtures of Isotropic Gaussians Marguerite Petit-Talamon Marc Lambert Anna Korba BDL 49 0 0 16 Jun 2025
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Octavio Arriaga Rebecca Adam Melvin Laux L. Gutzeit Marco Ragni Jan Peters Frank Kirchner PINN AI4CE 35 0 0 10 Jun 2025
Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy Kenric Nelson Igor Oliveira Amenah Al-Najafi Fode Zhang Hon Keung Tony Ng DRL 41 0 0 10 Jun 2025
Stability of Mean-Field Variational Inference Shunan Sheng Bohan Wu Alberto González-Sanz Marcel Nutz 22 0 0 09 Jun 2025
Quantifying Adversarial Uncertainty in Evidential Deep Learning using Conflict Resolution Charmaine Barker Daniel Bethell Simos Gerasimou AAML 57 0 0 06 Jun 2025
Variational Inference for Quantum HyperNetworks Luca Nepote Alix Lhéritier Nicolas Bondoux Marios Kountouris Maurizio Filippone MQ 60 0 0 06 Jun 2025
RNE: a plug-and-play framework for diffusion density estimation and inference-time control Jiajun He Jose Miguel Hernandez-Lobato Yuanqi Du Francisco Vargas 98 0 0 06 Jun 2025
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows Francesca R. Crucinio Sahani Pathiraja 60 0 0 06 Jun 2025
Exploring bidirectional bounds for minimax-training of Energy-based models Cong Geng Jia Wang Li Chen Zhiyong Gao J. Frellsen Søren Hauberg 102 0 0 05 Jun 2025
Amortized variational transdimensional inference Laurence Davies Dan Mackinlay Rafael Oliveira Scott A. Sisson DRL BDL 123 0 0 05 Jun 2025
Self-supervised Latent Space Optimization with Nebula Variational Coding Yida Wang D. Tan Nassir Navab Federico Tombari DRL SSL 81 1 0 02 Jun 2025
Asymptotically exact variational flows via involutive MCMC kernels Zuheng Xu Trevor Campbell 36 0 0 02 Jun 2025
Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification Griffin Tabor Tucker Hermans 32 0 0 31 May 2025
Normalizing Flows are Capable Models for RL Raj Ghugare Benjamin Eysenbach OffRL AI4CE 86 0 0 29 May 2025
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty Sebastián Jiménez Mira Jürgens Willem Waegeman UD PER 61 0 0 29 May 2025
STACI: Spatio-Temporal Aleatoric Conformal Inference Brandon Feng David K. Park Xihaier Luo Arantxa Urdangarin Shinjae Yoo Brian J. Reich 29 0 0 27 May 2025
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data Linshanshan Wang Mengyan Li Zongqi Xia Molei Liu Tianxi Cai 22 0 0 27 May 2025
Unfolding AlphaFold's Bayesian Roots in Probability Kinematics T. Hamelryck K. Mardia AI4CE 21 0 0 26 May 2025
An Iterative Framework for Generative Backmapping of Coarse Grained Proteins Georgios Kementzidis Erin Wong John Nicholson Ruichen Xu Yuefan Deng 53 0 0 23 May 2025
Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems Jiayi Geng Howard Chen Dilip Arumugam Thomas L. Griffiths 109 0 0 23 May 2025
Sequential Monte Carlo for Policy Optimization in Continuous POMDPs Hany Abdulsamad Sahel Iqbal Simo Särkkä 72 0 0 22 May 2025
Last Layer Empirical Bayes Valentin Villecroze Yixin Wang Gabriel Loaiza-Ganem UQCV BDL 71 0 0 21 May 2025
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation Runze Zhao Yue Yu Adams Yiyue Zhu Chen Yang Dongruo Zhou 48 0 0 20 May 2025
Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation Ting Wei Biao Mei Junliang Lyu Renquan Zhang Feng Zhou Yifan Sun FedML 75 0 0 20 May 2025
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes Simon Urbainczyk Aretha L. Teckentrup Jonas Latz GP 123 0 0 16 May 2025
Identifying Causal Direction via Variational Bayesian Compression Quang-Duy Tran Bao Duong Phuoc Nguyen Thin Nguyen CML 121 0 0 12 May 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki Pasi Fränti Laura Ruotsalainen BDL AI4CE 121 0 0 12 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 83 0 0 08 May 2025
Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach Xuyang Chen Keyu Yan Lin Zhao OffRL 119 1 0 08 May 2025
Latent Adaptive Planner for Dynamic Manipulation Donghun Noh Deqian Kong Minglu Zhao Andrew Lizarraga Jianwen Xie Ying Nian Wu Dennis W. Hong 407 1 0 06 May 2025
Variational Formulation of the Particle Flow Particle Filter Yinzhuang Yi Jorge Cortés Nikolay Atanasov 75 0 0 06 May 2025
Bayesian Robust Aggregation for Federated Learning Aleksandr Karakulev Usama Zafar Salman Toor Prashant Singh FedML 99 0 0 05 May 2025
Evolution of Gaussians in the Hellinger-Kantorovich-Boltzmann gradient flow Matthias Liero Alexander Mielke Oliver Tse Jia Jie Zhu 89 1 0 29 Apr 2025
Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data Sven Goblirsch Benedikt Ruhland Johannes Betz Markus Lienkamp 76 0 0 29 Apr 2025
Factor Analysis with Correlated Topic Model for Multi-Modal Data Małgorzata Łazęcka Ewa Szczurek 48 0 0 26 Apr 2025
Segmentation with Noisy Labels via Spatially Correlated Distributions Ryu Tadokoro Tsukasa Takagi Shin-ichi Maeda 63 0 0 21 Apr 2025
Uncertainty quantification of neural network models of evolving processes via Langevin sampling Cosmin Safta Reese E. Jones Ravi G. Patel Raelynn Wonnacot Dan S. Bolintineanu Craig M. Hamel S. Kramer BDL 126 0 0 21 Apr 2025
Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Jiadong Lou Bingqing Liu Yuanheng Xiong Xiaodong Zhang Xu Yuan 56 2 0 18 Apr 2025
An Image is Worth $K$ Topics: A Visual Structural Topic Model with Pretrained Image Embeddings Matías Piqueras Alexandra Segerberg Matteo Magnani Måns Magnusson Nataša Sladoje 106 0 0 14 Apr 2025
Ensemble-Enhanced Graph Autoencoder with GAT and Transformer-Based Encoders for Robust Fault Diagnosis Moirangthem Tiken Singh AI4CE 62 1 0 13 Apr 2025
Stacking Variational Bayesian Monte Carlo Francesco Silvestrin Chengkun Li Luigi Acerbi BDL 104 0 0 07 Apr 2025
PRISM: Probabilistic Representation for Integrated Shape Modeling and Generation Lei Cheng Mahdi Saleh Qing Cheng Lu Sang Hongli Xu Zorah Lähner F. Tombari 48 0 0 06 Apr 2025
Variational Self-Supervised Learning Mehmet Can Yavuz Berrin Yanikoglu SSL 178 0 0 06 Apr 2025
Taming High-Dimensional Dynamics: Learning Optimal Projections onto Spectral Submanifolds Hugo Buurmeijer Luis A. Pabon J. I. Alora Roshan S. Kaundinya George Haller Marco Pavone 116 0 0 04 Apr 2025
Stochastic Variational Inference with Tuneable Stochastic Annealing John Paisley G. Fazelnia Brian Barr 53 0 0 04 Apr 2025
Sparse Gaussian Neural Processes Tommy Rochussen Vincent Fortuin BDL UQCV 198 0 0 02 Apr 2025
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning Llewyn Salt Marcus Gallagher 64 1 0 02 Apr 2025
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models Caroline Tatsuoka Minglei Yang Dongbin Xiu Guannan Zhang DiffM 117 2 0 02 Apr 2025