conftrace_

distribution testing

61 papers

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Co-occurring keywords

sample complexity (1169) hypothesis testing (254) property testing (22) total variation distance (52) two-sample test (51) identity testing (19) kernel methods (1097) statistical testing (98) differential privacy (1016) uniform distribution (15)

Papers

On the Robustness of Kernel Goodness-of-Fit Tests JMLR 2025
Testing Generated Distributions in GANs to Penalize Mode Collapse AISTATS 2024
New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions COLT 2024
Data Distribution Valuation NIPS 2024
Entropy testing and its application to testing Bayesian networks NIPS 2024
Equivalence Testing: The Power of Bounded Adaptivity AISTATS 2024
Replicable Uniformity Testing NIPS 2024
Differentially Private Equivalence Testing for Continuous Distributions and Applications NIPS 2024
Testing Self-Reducible Samplers AAAI 2024
Testing of Index-Invariant Properties in the Huge Object Model COLT 2023
Tester-Learners for Halfspaces: Universal Algorithms NIPS 2023
Data Structures for Density Estimation ICML 2023
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing COLT 2023
Identifying Selection Bias from Observational Data AAAI 2023
Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling COLT 2023
Testing Tail Weight of a Distribution Via Hazard Rate ALT 2023
Testing of Horn Samplers AISTATS 2023
Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions JMLR 2022
Sharp Constants in Uniformity Testing via the Huber Statistic COLT 2022
Nearly-Tight Bounds for Testing Histogram Distributions NIPS 2022
The Price of Tolerance in Distribution Testing COLT 2022
On Scalable Testing of Samplers NIPS 2022
Learning and Testing Irreducible Markov Chains via the $k$-Cover Time ALT 2021
Application of kernel hypothesis testing on set-valued data UAI 2021
Learning and testing junta distributions with sub cube conditioning COLT 2021