conftrace_

discrete distribution

49 papers

Explore in graph

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

Learning discrete distributions with infinite support NIPS 2020
Learning discrete distributions: user vs item-level privacy NIPS 2020
Stein Variational Inference for Discrete Distributions AISTATS 2020
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020
Optimal Robust Learning of Discrete Distributions from Batches ICML 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax NIPS 2020
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions AISTATS 2020
Sample Amplification: Increasing Dataset Size even when Learning is Impossible ICML 2020
Discrete Flows: Invertible Generative Models of Discrete Data NIPS 2019
Differentially Private Anonymized Histograms NIPS 2019
Rao-Blackwellized Stochastic Gradients for Discrete Distributions ICML 2019
Data Amplification: A Unified and Competitive Approach to Property Estimation NIPS 2018
Differentially Private Identity and Equivalence Testing of Discrete Distributions ICML 2018
Testing for Families of Distributions via the Fourier Transform NIPS 2018
Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy ICML 2018
Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering ACL 2017
Communication-Efficient Distributed Learning of Discrete Distributions NIPS 2017
A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions ICML 2017
Discrete Duration Model for Speech Synthesis INTERSPEECH 2017
Differentially Private Learning of Structured Discrete Distributions NIPS 2015
Competitive Distribution Estimation: Why is Good-Turing Good NIPS 2015
Mode Estimation for High Dimensional Discrete Tree Graphical Models NIPS 2014
Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014
Embed and Project: Discrete Sampling with Universal Hashing NIPS 2013