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Statistical Learning

4,076 papers

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Papers

Sharp Impossibility Results for Hyper-graph Testing NIPS 2021
Distribution-free inference for regression: discrete, continuous, and in between NIPS 2021
Statistical Inference with M-Estimators on Adaptively Collected Data NIPS 2021
Concentration inequalities under sub-Gaussian and sub-exponential conditions NIPS 2021
Forster Decomposition and Learning Halfspaces with Noise NIPS 2021
An Exact Characterization of the Generalization Error for the Gibbs Algorithm NIPS 2021
Measuring Generalization with Optimal Transport NIPS 2021
Mixture Proportion Estimation and PU Learning:A Modern Approach NIPS 2021
Machine Learning for Variance Reduction in Online Experiments NIPS 2021
Multiple Descent: Design Your Own Generalization Curve NIPS 2021
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data NIPS 2021
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios NIPS 2021
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime NIPS 2021
Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions NIPS 2021
List-Decodable Mean Estimation in Nearly-PCA Time NIPS 2021
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space NIPS 2021
Revenue maximization via machine learning with noisy data NIPS 2021
Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection NIPS 2021
Risk Monotonicity in Statistical Learning NIPS 2021
What Makes Multi-Modal Learning Better than Single (Provably) NIPS 2021
Answering Complex Causal Queries With the Maximum Causal Set Effect NIPS 2021
Learning with User-Level Privacy NIPS 2021
Out-of-Distribution Generalization in Kernel Regression NIPS 2021
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote NIPS 2021
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals NIPS 2021