conftrace_

discrete distribution

49 papers

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Co-occurring keywords

markov chain monte carlo (725) differential privacy (1016) distribution learning (75) sample complexity (1169) distribution estimation (71) normalizing flow (354) statistical estimation (108) gradient-based sampling (15) graphical model (864) minimax rate (87)

Papers

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