Co-occurring keywords · papers mentioning both
Papers
Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions
COLT 2026
Computational Explorations of Total Variation Distance
ICLR 2025
Predicting quantum channels over general product distributions
COLT 2025
Truthfulness of Decision-Theoretic Calibration Measures
COLT 2025
Identification of mixtures of discrete product distributions in near-optimal sample and time complexity
COLT 2024
A Mathematical Model for Curriculum Learning for Parities
ICML 2023
On Approximating Total Variation Distance
IJCAI 2023
On Differentially Private Sampling from Gaussian and Product Distributions
NeurIPS 2023
Independence Testing for Bounded Degree Bayesian Networks
NeurIPS 2022
Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models
COLT 2022
Generalizing Complex Hypotheses on Product Distributions: Auctions, Prophet Inequalities, and Pandora’s Problem
COLT 2021
Source Identification for Mixtures of Product Distributions
COLT 2021
Testing Product Distributions: A Closer Look
ALT 2021
Private Identity Testing for High-Dimensional Distributions
NeurIPS 2020
Privately Learning High-Dimensional Distributions
COLT 2019
Learning Shuffle Ideals Under Restricted Distributions
NeurIPS 2014
Learning DNF Expressions from Fourier Spectrum
COLT 2012
Learning Functions of Halfspaces Using Prefix Covers
COLT 2012
Learning with the weighted trace-norm under arbitrary sampling distributions
NeurIPS 2011
Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions
JMLR 2009