Co-occurring keywords · papers mentioning both
Papers
Graph Inference with Effective Resistance Queries
ALT 2026
Lazy Testing of Machine-Learning Models
IJCAI 2025
Aligning Model Properties via Conformal Risk Control
NeurIPS 2024
Open Problem: Tight Characterization of Instance-Optimal Identity Testing
COLT 2024
PropTest: Automatic Property Testing for Improved Visual Programming
EMNLP 2024
Testing Calibration in Nearly-Linear Time
NeurIPS 2024
On Testing and Learning Quantum Junta Channels
COLT 2023
Sample Complexity of Distinguishing Cause from Effect
AISTATS 2023
Specifying and Testing k-Safety Properties for Machine-Learning Models
IJCAI 2023
Testing of Index-Invariant Properties in the Huge Object Model
COLT 2023
Nearly-Tight Bounds for Testing Histogram Distributions
NeurIPS 2022
Sharp Constants in Uniformity Testing via the Huber Statistic
COLT 2022
Sequential Algorithms for Testing Closeness of Distributions
NeurIPS 2021
Testing Determinantal Point Processes
NeurIPS 2020
Is your function low dimensional?
COLT 2019
Private Testing of Distributions via Sample Permutations
NeurIPS 2019
The Broad Optimality of Profile Maximum Likelihood
NeurIPS 2019
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels
IJCAI 2018
A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice
NeurIPS 2018
Sharp Bounds for Generalized Uniformity Testing
NeurIPS 2018
Testing for Families of Distributions via the Fourier Transform
NeurIPS 2018
Testing Sparsity over Known and Unknown Bases
ICML 2018
Optimal Testing for Properties of Distributions
NeurIPS 2015