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Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs

Journal of machine learning research (JMLR), 2012

5 October 2012

Jun Zhu

Papers citing "Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs"

50 / 62 papers shown

Title
Enhancing the Trainability of Variational Quantum Circuits with Regularization Strategies Jun Zhuang Jack Cunningham Chaowen Guan 234 4 0 02 May 2024
Bayesian Neural Networks with Domain Knowledge Priors Dylan Sam Rattana Pukdee Daniel P. Jeong Yewon Byun J. Zico Kolter BDL UQCV 228 14 0 20 Feb 2024
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023 Cheng Lu Huayu Chen Jianfei Chen Hang Su Chongxuan Li Jun Zhu DiffM OffRL 239 103 0 25 Apr 2023
Dimensionality Reduction as Probabilistic Inference Aditya Ravuri Francisco Vargas V. Lalchand Neil D. Lawrence BDL 124 6 0 15 Apr 2023
Mixed Semi-Supervised Generalized-Linear-Regression with Applications to Deep-Learning and Interpolators Yuval Oren Saharon Rosset 237 1 0 19 Feb 2023
Learning from Noisy Crowd Labels with LogicsIEEE International Conference on Data Engineering (ICDE), 2023 Zhijun Chen Hailong Sun Haoqian He Pengpeng Chen NoLa NAI 218 9 0 13 Feb 2023
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion M. Izzatullah T. Alkhalifah J. Romero M. Corrales N. Luiken M. Ravasi 205 2 0 30 Dec 2022
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge ConstraintsKnowledge-Based Systems (KBS), 2022 Jiayu Huang Yutian Pang Yongming Liu Hao Yan BDL UQCV 195 16 0 16 Oct 2022
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained ModelsInternational Conference on Learning Representations (ICLR), 2022 Yong Zhong Hongtao Liu Xiaodong Liu Fan Bao Weiran Shen Chongxuan Li AI4CE 211 7 0 30 Aug 2022
Deep Ensemble as a Gaussian Process Approximate Posterior Zhijie Deng Feng Zhou Jianfei Chen Guoqiang Wu Jun Zhu UQCV 128 5 0 30 Apr 2022
Toward a `Standard Model' of Machine Learning Zhiting Hu Eric Xing 235 15 0 17 Aug 2021
Posterior Regularization on Bayesian Hierarchical Mixture Clustering Weipéng Huáng T. L. J. Ng Nishma Laitonjam N. Hurley 490 3 0 14 May 2021
Offline Policy Selection under UncertaintyInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Mengjiao Yang Bo Dai Ofir Nachum George Tucker Dale Schuurmans OffRL 187 35 0 12 Dec 2020
Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints Gabriel Hope Madina Abdrakhmanova Xiaoyin Chen Michael C. Hughes M. C. Hughes Erik B. Sudderth DRL 77 0 0 12 Dec 2020
A Survey of Knowledge-Enhanced Text GenerationACM Computing Surveys (ACM CSUR), 2020 Wenhao Yu Chenguang Zhu Zaitang Li Zhiting Hu Qingyun Wang Heng Ji Meng Jiang 321 315 0 09 Oct 2020
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift Alex J. Chan Ahmed Alaa Zhaozhi Qian M. Schaar UQCV BDL OOD 176 42 0 26 Jun 2020
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning ApplicationsTransportation Research Part B: Methodological (Transp. Res. Part B), 2020 Yun Yuan X. Yang Zhao Zhang Shandian Zhe AI4CE 150 109 0 06 Feb 2020
On Implicit Regularization in $β$ -VAEsInternational Conference on Machine Learning (ICML), 2020 Abhishek Kumar Ben Poole DRL 506 58 0 31 Jan 2020
AvgOut: A Simple Output-Probability Measure to Eliminate Dull ResponsesAAAI Conference on Artificial Intelligence (AAAI), 2020 Tong Niu Joey Tianyi Zhou 131 3 0 15 Jan 2020
Asymptotic Consistency of Loss-Calibrated Variational Bayes Prateek Jaiswal Harsha Honnappa Vinayak A. Rao 146 5 0 04 Nov 2019
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent VariablesJournal of machine learning research (JMLR), 2019 Yaniv Yacoby Weiwei Pan Finale Doshi-Velez BDL UQCV 327 1 0 01 Nov 2019
A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels Yucen Luo Jun Zhu Tomas Pfister NoLa 176 7 0 20 Sep 2019
Transfer Learning Between Related Tasks Using Expected Label ProportionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Matan Ben Noach Yoav Goldberg OOD 134 3 0 01 Sep 2019
Multi-objects Generation with Amortized Structural RegularizationNeural Information Processing Systems (NeurIPS), 2019 Kun Xu Chongxuan Li Jun Zhu Bo Zhang 142 17 0 10 Jun 2019
LS-SVR as a Bayesian RBF networkIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Diego Mesquita Luis A. Freitas Joao P. P. Gomes C. L. C. Mattos 168 14 0 01 May 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 344 114 0 03 Apr 2019
Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior RegularizationInternational Conference on Big Data and Smart Computing (BigComp), 2019 B. Liu UQCV 281 3 0 11 Feb 2019
Knowledge-Based Regularization in Generative Modeling Naoya Takeishi Yoshinobu Kawahara GAN 133 0 0 06 Feb 2019
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints Ashutosh Baheti Alan Ritter Jiwei Li W. Dolan 215 93 0 04 Sep 2018
Knowledge-Based Distant Regularization in Learning Probabilistic Models Naoya Takeishi Kosuke Akimoto 111 5 0 29 Jun 2018
Deep Generative Models with Learnable Knowledge Constraints Zhiting Hu Zichao Yang Ruslan Salakhutdinov Xiaodan Liang Lianhui Qin Haoye Dong Eric Xing BDL AI4CE 181 78 0 26 Jun 2018
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance Neal Jean Sang Michael Xie Stefano Ermon BDL SSL 234 87 0 26 May 2018
Amortized Inference Regularization Rui Shu Hung Bui Shengjia Zhao Mykel J. Kochenderfer Stefano Ermon DRL 139 86 0 23 May 2018
Bayesian Semi-nonnegative Tri-matrix Factorization to Identify Pathways Associated with Cancer Types S. Park T. Hwang 75 2 0 01 Dec 2017
Prediction-Constrained Topic Models for Antidepressant Recommendation M. C. Hughes Gabriel Hope Leah Weiner T. McCoy R. Perlis Erik B. Sudderth Finale Doshi-Velez 198 9 0 01 Dec 2017
Diversity-Promoting Bayesian Learning of Latent Variable Models P. Xie Jun Zhu Eric Xing 119 32 0 23 Nov 2017
Deep Learning from Noisy Image Labels with Quality Embedding Jiangchao Yao Jiajie Wang Ivor Tsang Ya Zhang Jun-wei Sun Chengqi Zhang Rui Zhang NoLa 144 134 0 02 Nov 2017
Variational Inference based on Robust Divergences Futoshi Futami Issei Sato Masashi Sugiyama BDL OOD 225 70 0 18 Oct 2017
ZhuSuan: A Library for Bayesian Deep Learning Jiaxin Shi Jianfei Chen Jun Zhu Shengyang Sun Yucen Luo Yihong Gu Yuhao Zhou UQCV BDL 123 43 0 18 Sep 2017
Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models M. C. Hughes Leah Weiner Gabriel Hope T. McCoy R. Perlis Erik B. Sudderth Finale Doshi-Velez 111 10 0 23 Jul 2017
Sharing deep generative representation for perceived image reconstruction from human brain activity Changde Du Changying Du Huiguang He DiffM 158 56 0 25 Apr 2017
Max-Margin Deep Generative Models for (Semi-)Supervised Learning Chongxuan Li Jun Zhu Bo Zhang AI4CE 183 43 0 22 Nov 2016
Robust training on approximated minimal-entropy set T. Xie Nasser. M. Narabadi Alfred Hero OOD AAML 69 1 0 21 Oct 2016
Probabilistic Dimensionality Reduction via Structure Learning Li Wang 83 31 0 16 Oct 2016
Weakly Supervised Learning of Heterogeneous Concepts in VideosEuropean Conference on Computer Vision (ECCV), 2016 Sohil Shah K. Kulkarni Arijit Biswas Ankit Gandhi Om Deshmukh L. Davis 146 2 0 12 Jul 2016
Kernel Bayesian Inference with Posterior RegularizationNeural Information Processing Systems (NeurIPS), 2016 Yang Song Jun Zhu Yong Ren 154 11 0 07 Jul 2016
Harnessing Deep Neural Networks with Logic Rules Zhiting Hu Xuezhe Ma Zhengzhong Liu Eduard H. Hovy Eric Xing AI4CE NAI 257 626 0 21 Mar 2016
Strategies and Principles of Distributed Machine Learning on Big Data Eric Xing Qirong Ho P. Xie Wei-Ming Dai AI4CE 201 160 0 31 Dec 2015
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation B. Chen Ning Chen Jun Zhu Jiaming Song Bo Zhang BDL 182 3 0 07 Dec 2015
Jointly Modeling Topics and Intents with Global Order Structure B. Chen Jun Zhu Nan Yang Tian Tian M. Zhou Bo Zhang 76 2 0 07 Dec 2015