On the Partition Function and Random Maximum A-Posteriori Perturbations

27 June 2012

Papers citing "On the Partition Function and Random Maximum A-Posteriori Perturbations"

46 / 46 papers shown

Title
Gumbel Counterfactual Generation From Language Models Shauli Ravfogel Anej Svete Vésteinn Snæbjarnarson Ryan Cotterell LRM CML 87 1 0 11 Nov 2024
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence Sangwoo Shin H. Hino 78 0 0 02 Aug 2024
UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning Yu Zhang Rui Yu Zhipeng Yao Wenyuan Zhang Jun Wang Liming Zhang OffRL 110 0 0 05 Jun 2024
A safety realignment framework via subspace-oriented model fusion for large language models Xin Yi Shunfan Zheng Linlin Wang Xiaoling Wang Liang He 113 27 0 15 May 2024
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds Bastian Boll Daniel Gonzalez-Alvarado Christoph Schnörr DRL 85 4 0 12 Feb 2024
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees Jinzhao Li Nan Jiang Yexiang Xue 58 1 0 16 Sep 2023
SpotEM: Efficient Video Search for Episodic Memory Santhosh Kumar Ramakrishnan Ziad Al-Halah Kristen Grauman VLM 93 9 0 28 Jun 2023
Topology-Aware Uncertainty for Image Segmentation Saumya Gupta Yikai Zhang Xiaoling Hu Prateek Prasanna Chao Chen 82 30 0 09 Jun 2023
Extreme Q-Learning: MaxEnt RL without Entropy Divyansh Garg Joey Hejna Matthieu Geist Stefano Ermon OffRL 87 80 0 05 Jan 2023
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models Pasquale Minervini Luca Franceschi Mathias Niepert 101 11 0 11 Sep 2022
Perturb-and-max-product: Sampling and learning in discrete energy-based models Miguel Lazaro-Gredilla Antoine Dedieu Dileep George 49 9 0 03 Nov 2021
Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks I. Nikoloska Osvaldo Simeone 79 22 0 04 Aug 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert Pasquale Minervini Luca Franceschi 81 87 0 03 Jun 2021
Partition Function Estimation: A Quantitative Study Durgesh Kumar Agrawal Yash Pote Kuldeep S. Meel 71 11 0 24 May 2021
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing Chunchuan Lyu Shay B. Cohen Ivan Titov 111 11 0 23 Oct 2020
Belief Propagation Neural Networks Jonathan Kuck Shuvam Chakraborty Hao Tang Rachel Luo Jiaming Song Ashish Sabharwal Stefano Ermon 98 40 0 01 Jul 2020
Counterfactually Guided Off-policy Transfer in Clinical Settings Taylor W. Killian Marzyeh Ghassemi Shalmali Joshi CML OffRL OOD 59 12 0 20 Jun 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 97 88 0 15 Jun 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 94 109 0 20 Feb 2020
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition Zuxuan Wu Caiming Xiong Yu-Gang Jiang L. Davis 81 110 0 03 Dec 2019
Towards Efficient Discrete Integration via Adaptive Quantile Queries Fan Ding Hanjing Wang Ashish Sabharwal Yexiang Xue 46 4 0 13 Oct 2019
Joint Learning of Geometric and Probabilistic Constellation Shaping Maximilian Stark Fayçal Ait Aoudia J. Hoydis 57 83 0 18 Jun 2019
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces Guy Lorberbom Chris J. Maddison N. Heess Tamir Hazan Daniel Tarlow 90 8 0 14 Jun 2019
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models Michael Oberst David Sontag CML OffRL 83 174 0 14 May 2019
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement W. Kool H. V. Hoof Max Welling 131 220 0 14 Mar 2019
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 121 42 0 17 Dec 2018
Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models Tatiana Shpakova Francis R. Bach A. Osokin 16 5 0 21 Nov 2018
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time Asish Ghoshal Jean Honorio TPM 16 3 0 21 May 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 112 272 0 23 Feb 2018
Approximate Inference via Weighted Rademacher Complexity Jonathan Kuck Ashish Sabharwal Stefano Ermon 62 7 0 27 Jan 2018
Lost Relatives of the Gumbel Trick Matej Balog Nilesh Tripuraneni Zoubin Ghahramani Adrian Weller 82 27 0 13 Jun 2017
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 216 2,541 0 02 Nov 2016
Parameter Learning for Log-supermodular Distributions Tatiana Shpakova Francis R. Bach 36 8 0 18 Aug 2016
Local Perturb-and-MAP for Structured Prediction Gedas Bertasius Qiang Liu Lorenzo Torresani Jianbo Shi 30 4 0 24 May 2016
High Dimensional Inference with Random Maximum A-Posteriori Perturbations Tamir Hazan Francesco Orabona Anand D. Sarwate Subhransu Maji Tommi Jaakkola 75 7 0 10 Feb 2016
Multicuts and Perturb & MAP for Probabilistic Graph Clustering Jörg H. Kappes Paul Swoboda Bogdan Savchynskyy Tamir Hazan Christoph Schnörr 28 7 0 09 Jan 2016
Barrier Frank-Wolfe for Marginal Inference Rahul G. Krishnan Simon Lacoste-Julien David Sontag 105 38 0 06 Nov 2015
Message Passing and Combinatorial Optimization Siamak Ravanbakhsh 89 1 0 20 Aug 2015
Variable Elimination in the Fourier Domain Yexiang Xue Stefano Ermon Ronan Le Bras Carla P. Gomes B. Selman TPM 75 11 0 17 Aug 2015
A* Sampling Chris J. Maddison Daniel Tarlow T. Minka 121 393 0 31 Oct 2014
Training Restricted Boltzmann Machine by Perturbation Siamak Ravanbakhsh Russell Greiner B. Frey 60 3 0 06 May 2014
Approximating the Bethe partition function Adrian Weller Tony Jebara 50 29 0 30 Dec 2013
On Measure Concentration of Random Maximum A-Posteriori Perturbations Francesco Orabona Tamir Hazan Anand D. Sarwate Tommi Jaakkola 76 14 0 15 Oct 2013
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations Tamir Hazan Subhransu Maji Tommi Jaakkola 81 56 0 29 Sep 2013
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization Stefano Ermon Carla P. Gomes Ashish Sabharwal B. Selman 77 131 0 27 Feb 2013
An Efficient Algorithm for Upper Bound on the Partition Function of Nucleic Acids H. Chitsaz Elmira Forouzmand Gholamreza Haffari 51 3 0 08 Jan 2013