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statistical learning

350 papers

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learning theory (518) sample complexity (1158) generalization bound (649) convergence rate (606) empirical risk minimization (348) information theory (489) bayesian inference (1904) hypothesis testing (254) differential privacy (1010) statistical learning theory (82)

Papers

Statistical Learning under Nonstationary Mixing Processes AISTATS 2019
On Testing for Biases in Peer Review NIPS 2019
PAC-Bayes under potentially heavy tails NIPS 2019
Statistical Learning with a Nuisance Component COLT 2019
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees NIPS 2019
Model Selection via the VC Dimension JMLR 2019
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments NIPS 2019
Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor NIPS 2019
A tight excess risk bound via a unified PAC-Bayesian–Rademacher–Shtarkov–MDL complexity ALT 2019
Locally Private Gaussian Estimation NIPS 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NIPS 2019
Kernel Method for Persistence Diagrams via Kernel Embedding and Weight Factor JMLR 2018
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics ICML 2018
tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models JMLR 2018
An $\ell_{\infty}$ Eigenvector Perturbation Bound and Its Application JMLR 2018
Uncertainty-aware generative models for inferring document class prevalence EMNLP 2018
Effective Acoustic Cue Learning Is Not Just Statistical, It Is Discriminative INTERSPEECH 2018
How Many Samples are Needed to Estimate a Convolutional Neural Network? NIPS 2018
Sharp Bounds for Generalized Uniformity Testing NIPS 2018
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions NIPS 2018
But How Does It Work in Theory? Linear SVM with Random Features NIPS 2018
The Well-Tempered Lasso ICML 2018
Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis COLING 2018
Differentially Private Change-Point Detection NIPS 2018
Generalization Bounds for Uniformly Stable Algorithms NIPS 2018