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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

An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning NIPS 2021
Information-theoretic generalization bounds for black-box learning algorithms NIPS 2021
Language Model Evaluation Beyond Perplexity ACL 2021
Tighter Expected Generalization Error Bounds via Wasserstein Distance NIPS 2021
Fine-grained Generalization Analysis of Structured Output Prediction IJCAI 2021
Differentially Private Sampling from Distributions NIPS 2021
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise ICML 2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians ALT 2021
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies ICML 2021
Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature JMLR 2021
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency NIPS 2021
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models JMLR 2021
Model-Based Domain Generalization NIPS 2021
Online stochastic gradient descent on non-convex losses from high-dimensional inference JMLR 2021
How Well Generative Adversarial Networks Learn Distributions JMLR 2021
Towards Practical Mean Bounds for Small Samples ICML 2021
Efficient Truncated Linear Regression with Unknown Noise Variance NIPS 2021
A statistical perspective on distillation ICML 2021
Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance ACL 2021
Stability and Risk Bounds of Iterative Hard Thresholding AISTATS 2021
Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction ICML 2021
Finding Concept-specific Biases in Form–Meaning Associations NAACL 2021
Modeling Semantics and Pragmatics of Spatial Prepositions via Hierarchical Common-Sense Primitives ACL 2021
Out-of-Distribution Generalization in Kernel Regression NIPS 2021
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression AISTATS 2021