Showing 1–20 of 97 results
/ Date/ Name
Nov 24, 2018Streamlining Variational Inference for Constraint Satisfaction ProblemsApr 5, 2018Variational Rejection SamplingMar 28, 2018Graphite: Iterative Generative Modeling of GraphsJun 30, 2016Contextual Symmetries in Probabilistic Graphical ModelsJun 17, 2025Mercury: Ultra-Fast Language Models Based on DiffusionJun 17, 2018Learning Policy Representations in Multiagent SystemsMar 21, 2019Stochastic Optimization of Sorting Networks via Continuous RelaxationsMay 30, 2019AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing FlowsJul 4, 2018Modeling Sparse Deviations for Compressed Sensing using Generative ModelsJun 23, 2019Bias Correction of Learned Generative Models using Likelihood-Free Importance WeightingDec 26, 2018Uncertainty Autoencoders: Learning Compressed Representations via Variational Information MaximizationFeb 27, 2017Boosted Generative ModelsMay 24, 2017Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative ModelsJul 3, 2016node2vec: Scalable Feature Learning for NetworksMar 29, 2018Best arm identification in multi-armed bandits with delayed feedbackNov 19, 2018Neural Joint Source-Channel CodingDec 11, 2018Learning Controllable Fair RepresentationsDec 7, 2020Reset-Free Lifelong Learning with Skill-Space PlanningJun 28, 2021Learning from an Exploring Demonstrator: Optimal Reward Estimation for BanditsFeb 23, 2021Anytime Sampling for Autoregressive Models via Ordered Autoencoding