Co-occurring keywords · papers mentioning both
Papers
Locally differentially private estimation of functionals of discrete distributions
NeurIPS 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
ICML 2021
Wide-Baseline Relative Camera Pose Estimation With Directional Learning
CVPR 2021
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions
AISTATS 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
NeurIPS 2020
Learning discrete distributions: user vs item-level privacy
NeurIPS 2020
Learning discrete distributions with infinite support
NeurIPS 2020
Optimal Robust Learning of Discrete Distributions from Batches
ICML 2020
Sample Amplification: Increasing Dataset Size even when Learning is Impossible
ICML 2020
Stein Variational Inference for Discrete Distributions
AISTATS 2020
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions
AISTATS 2020
Differentially Private Anonymized Histograms
NeurIPS 2019
Discrete Flows: Invertible Generative Models of Discrete Data
NeurIPS 2019
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
ICML 2019
Data Amplification: A Unified and Competitive Approach to Property Estimation
NeurIPS 2018
Differentially Private Identity and Equivalence Testing of Discrete Distributions
ICML 2018
Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy
ICML 2018
Testing for Families of Distributions via the Fourier Transform
NeurIPS 2018
A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions
ICML 2017
Communication-Efficient Distributed Learning of Discrete Distributions
NeurIPS 2017
Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering
ACL 2017
Discrete Duration Model for Speech Synthesis
Interspeech 2017
Competitive Distribution Estimation: Why is Good-Turing Good
NeurIPS 2015
Differentially Private Learning of Structured Discrete Distributions
NeurIPS 2015
Learning Mixtures of Discrete Product Distributions using Spectral Decompositions
COLT 2014