probability distribution

Learning Sums of Independent Random Variables with Sparse Collective Support JMLR 2020 Mitigating Gender Bias Amplification in Distribution by Posterior Regularization ACL 2020 Modeling Fluency and Faithfulness for Diverse Neural Machine Translation AAAI 2020 NeurASP: Embracing Neural Networks into Answer Set Programming IJCAI 2020 On Testing of Samplers NeurIPS 2020 Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms. NeurIPS 2020 Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection AAAI 2020 Riemannian Continuous Normalizing Flows NeurIPS 2020 RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection SemEval 2020 Sequential Mode Estimation with Oracle Queries AAAI 2020 Sinkhorn Barycenter via Functional Gradient Descent NeurIPS 2020 Spread Divergence ICML 2020 Stochastic Normalizing Flows NeurIPS 2020 Stolen Probability: A Structural Weakness of Neural Language Models ACL 2020 The Curious Case of Neural Text Degeneration ICLR 2020 The Wasserstein Proximal Gradient Algorithm NeurIPS 2020 Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition AAAI 2020 Accelerated Flow for Probability Distributions ICML 2019 Capacity Bounded Differential Privacy NeurIPS 2019 DPPy: DPP Sampling with Python JMLR 2019 Interpolating between Optimal Transport and MMD using Sinkhorn Divergences AISTATS 2019 Learning Embeddings into Entropic Wasserstein Spaces ICLR 2019 Linear-Complexity Data-Parallel Earth Mover’s Distance Approximations ICML 2019 Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond NeurIPS 2019 Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit COLT 2019