A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation

10 February 2016

Papers citing "A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation"

50 / 296 papers shown

Title
AMNet: An Acoustic Model Network for Enhanced Mandarin Speech Synthesis Yubing Cao Yinfeng Yu Yongming Li Liejun Wang 24 0 0 12 Apr 2025
Low Stein Discrepancy via Message-Passing Monte Carlo Nathan Kirk T. Konstantin Rusch Jakob Zech Daniela Rus 35 0 0 27 Mar 2025
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation Jiawei Zhang Ziyuan Liu Leon Yan Gen Li Yuantao Gu 59 0 0 13 Mar 2025
A Unified View of Optimal Kernel Hypothesis Testing Antonin Schrab 48 2 0 10 Mar 2025
A Practical Introduction to Kernel Discrepancies: MMD, HSIC & KSD Antonin Schrab 43 1 0 04 Mar 2025
Correcting Mode Proportion Bias in Generalized Bayesian Inference via a Weighted Kernel Stein Discrepancy Elham Afzali Saman Muthukumarana Liqun Wang 37 0 0 03 Mar 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 75 0 0 25 Feb 2025
Stein Discrepancy for Unsupervised Domain Adaptation Anneke von Seeger Dongmian Zou Gilad Lerman 92 0 0 24 Feb 2025
Testing for Causal Fairness Jiarun Fu LiZhong Ding Pengqi Li Qiuning Wei Yurong Cheng Xu Chen 49 0 0 18 Feb 2025
Empirical Bayes Estimation with Side Information: A Nonparametric Integrative Tweedie Approach Jiajun Luo Trambak Banerjee Gourab Mukherjee Wenguang Sun 70 0 0 17 Feb 2025
LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation Xiang Chen DiffM 74 0 0 05 Dec 2024
Denoising Fisher Training For Neural Implicit Samplers Weijian Luo Wei Deng 33 0 0 03 Nov 2024
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective Jia-Jie Zhu 68 1 0 31 Oct 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao Weiming Liu Pengyang Zhou Fengyuan Yu Jiahe Xu Jun Wang Wenjie Wang Chaochao Chen Xiaolin Zheng FedML OODD 46 2 0 15 Oct 2024
Sequential Kernelized Stein Discrepancy Diego Martinez-Taboada Aaditya Ramdas 38 0 0 26 Sep 2024
Precise Pick-and-Place using Score-Based Diffusion Networks Shih-Wei Guo Tsu-Ching Hsiao Yu-Lun Liu Chun-Yi Lee DiffM 36 1 0 15 Sep 2024
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent Krishnakumar Balasubramanian Sayan Banerjee Promit Ghosal 35 2 0 13 Sep 2024
On the Robustness of Kernel Goodness-of-Fit Tests Xing Liu F. Briol OOD 75 4 0 11 Aug 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator Xinghao Dong Chuanqi Chen Jin-Long Wu DiffM AI4CE 41 5 0 06 Aug 2024
Multi-agent Coverage Control: From Discrete Assignments to Continuous Multi-agent Distribution Matching Solmaz Kia Sonia Martínez 19 1 0 18 Jul 2024
Optimal Kernel Choice for Score Function-based Causal Discovery Wenjie Wang Biwei Huang Feng Liu Xinge You Tongliang Liu Kun Zhang Mingming Gong 26 3 0 14 Jul 2024
A Practical Diffusion Path for Sampling Omar Chehab Anna Korba DiffM 34 1 0 20 Jun 2024
Training Diffusion Models with Federated Learning Matthijs de Goede Bart Cox Jérémie Decouchant FedML 44 8 0 18 Jun 2024
Nyström Kernel Stein Discrepancy Florian Kalinke Zoltan Szabo Bharath K. Sriperumbudur 41 1 0 12 Jun 2024
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning Zeyuan Liu Kai Yang Xiu Li OffRL 42 0 0 11 Jun 2024
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models Bálint Máté François Fleuret Tristan Bereau DiffM 40 2 0 04 Jun 2024
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey Thai-Hoc Vu Senthil Kumar Jagatheesaperumal Minh-Duong Nguyen Nguyen Van Huynh Sunghwan Kim Viet Quoc Pham 39 8 0 30 May 2024
Kernel Semi-Implicit Variational Inference Ziheng Cheng Longlin Yu Tianyu Xie Shiyue Zhang Cheng Zhang 29 2 0 29 May 2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows A. Cabezas Louis Sharrock Christopher Nemeth 34 1 0 23 May 2024
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction Xiaoyu Qiao Weisheng Li Bin Xiao Yuping Huang Lijian Yang DiffM 36 3 0 05 May 2024
SteinGen: Generating Fidelitous and Diverse Graph Samples G. Reinert Wenkai Xu 35 1 0 27 Mar 2024
Data-centric Prediction Explanation via Kernelized Stein Discrepancy Mahtab Sarvmaili Hassan Sajjad Ga Wu 16 1 0 22 Mar 2024
The Blind Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Random Access in Cellular IoT Xin Zhu Ahmet Enis Cetin 19 0 0 08 Mar 2024
Batch and match: black-box variational inference with a score-based divergence Diana Cai Chirag Modi Loucas Pillaud-Vivien C. Margossian Robert Mansel Gower David M. Blei Lawrence K. Saul 28 9 0 22 Feb 2024
Stein Boltzmann Sampling: A Variational Approach for Global Optimization Gaetan Serré Argyris Kalogeratos Nicolas Vayatis OT 19 1 0 07 Feb 2024
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity Peihao Wang Zhiwen Fan Dejia Xu Dilin Wang Sreyas Mohan ... Rakesh Ranjan Yilei Li Qiang Liu Zhangyang Wang Vikas Chandra 32 21 0 31 Dec 2023
Exact Consistency Tests for Gaussian Mixture Filters using Normalized Deviation Squared Statistics Nisar Ahmed Luke Burks Kailah Cabral Alyssa Bekai Rose 12 2 0 29 Dec 2023
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework Fangyikang Wang Huminhao Zhu Chao Zhang Han Zhao Hui Qian 24 5 0 27 Dec 2023
Mean-field underdamped Langevin dynamics and its spacetime discretization Qiang Fu Ashia Wilson 37 4 0 26 Dec 2023
Stein Coverage: a Variational Inference Approach to Distribution-matching Multisensor Deployment Donipolo Ghimire Solmaz S. Kia 20 2 0 12 Dec 2023
Stein Variational Belief Propagation for Multi-Robot Coordination Jana Pavlasek J. Mah Ruihan Xu Odest Chadwicke Jenkins Fabio Ramos 13 2 0 28 Nov 2023
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI Yuheng Fan Hanxi Liao Shiqi Huang Yimin Luo Huazhu Fu Haikun Qi MedIm 35 18 0 19 Nov 2023
Causal Modeling with Stationary Diffusions Lars Lorch Andreas Krause Bernhard Schölkopf DiffM 12 8 0 26 Oct 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration Longlin Yu Tianyu Xie Yu Zhu Tong Yang Xiangyu Zhang Cheng Zhang DiffM 21 6 0 26 Oct 2023
HyperFields: Towards Zero-Shot Generation of NeRFs from Text Sudarshan Babu Richard Liu Avery Zhou Michael Maire Greg Shakhnarovich Rana Hanocka AI4CE 19 10 0 26 Oct 2023
Shortcuts for causal discovery of nonlinear models by score matching Francesco Montagna Nicoletta Noceti Lorenzo Rosasco Francesco Locatello CML 53 3 0 22 Oct 2023
Enhancing Sample Quality through Minimum Energy Importance Weights Chaofan Huang V. R. Joseph 11 0 0 12 Oct 2023
Efficient Planning with Latent Diffusion Wenhao Li DiffM 38 4 0 30 Sep 2023
On Computationally Efficient Learning of Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 44 0 0 12 Sep 2023
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport Zhe Xiong Qiaoqiao Ding Xiaoqun Zhang OOD 13 0 0 26 Aug 2023