discrete distribution

Discrete Distribution Networks ICLR 2025 An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024 Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NeurIPS 2024 Mixed variational flows for discrete variables AISTATS 2024 On Divergence Measures for Training GFlowNets NeurIPS 2024 Optimal Algorithms for Augmented Testing of Discrete Distributions NeurIPS 2024 Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NeurIPS 2024 A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance ICLR 2023 Discrete Distribution Estimation under User-level Local Differential Privacy AISTATS 2023 Discrete Langevin Samplers via Wasserstein Gradient Flow AISTATS 2023 Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation AISTATS 2023 Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers AAAI 2023 Scaling integer arithmetic in probabilistic programs UAI 2023 A Langevin-like Sampler for Discrete Distributions ICML 2022 Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints NeurIPS 2022 Concrete Score Matching: Generalized Score Matching for Discrete Data NeurIPS 2022 Gradient Estimation with Discrete Stein Operators NeurIPS 2022 PAC Mode Estimation using PPR Martingale Confidence Sequences AISTATS 2022 Path Auxiliary Proposal for MCMC in Discrete Space ICLR 2022 Rejection sampling from shape-constrained distributions in sublinear time AISTATS 2022 Semi-Discrete Normalizing Flows through Differentiable Tessellation NeurIPS 2022 A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family JMLR 2021 Dimension-free empirical entropy estimation NeurIPS 2021 Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition NeurIPS 2021 Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints ALT 2021