Showing 1–20 of 39 results
/ Date/ Name
Oct 8, 2012Blending Learning and Inference in Structured PredictionMar 18, 2009Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate InferenceSep 29, 2013On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori PerturbationsJun 15, 2010Approximated Structured Prediction for Learning Large Scale Graphical ModelsAug 20, 2015Steps Toward Deep Kernel Methods from Infinite Neural NetworksJun 7, 2018Direct Optimization through $\arg \max$ for Discrete Variational Auto-EncoderOct 21, 2021Video and Text Matching with Conditioned EmbeddingsJun 14, 2019Direct Policy Gradients: Direct Optimization of Policies in Discrete Action SpacesJun 12, 2022A Functional Information Perspective on Model InterpretationJun 6, 2022Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical ImagesApr 11, 2019A Simple Baseline for Audio-Visual Scene-Aware DialogOct 12, 2022On the Importance of Gradient Norm in PAC-Bayesian BoundsOct 15, 2013On Measure Concentration of Random Maximum A-Posteriori PerturbationsJul 14, 2020Optimizing Memory Placement using Evolutionary Graph Reinforcement LearningJul 11, 2020Learning Randomly Perturbed Structured Predictors for Direct Loss MinimizationMay 3, 2022Learning Discrete Structured Variational Auto-Encoder using Natural Evolution StrategiesApr 11, 2019Factor Graph AttentionFeb 10, 2016High Dimensional Inference with Random Maximum A-Posteriori PerturbationsApr 6, 2012Continuous Markov Random Fields for Robust Stereo EstimationJun 13, 2012Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies