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Statistical Learning

4,076 papers

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Papers

Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models JMLR 2021
Failures of Model-dependent Generalization Bounds for Least-norm Interpolation JMLR 2021
Tighter Risk Certificates for Neural Networks JMLR 2021
Consistency of Gaussian Process Regression in Metric Spaces JMLR 2021
Statistical Guarantees for Local Spectral Clustering on Random Neighborhood Graphs JMLR 2021
Model Linkage Selection for Cooperative Learning JMLR 2021
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences JMLR 2021
Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models JMLR 2021
Estimating the Lasso's Effective Noise JMLR 2021
Gaussian Approximation for Bias Reduction in Q-Learning JMLR 2021
V-statistics and Variance Estimation JMLR 2021
On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix L4DC 2021
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples L4DC 2021
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance MLHC 2021
The structure of online social networks modulates the rate of lexical change NAACL 2021
Finding Concept-specific Biases in Form–Meaning Associations NAACL 2021
How (Non-)Optimal is the Lexicon? NAACL 2021
A Multinomial Processing Tree Model of RC Attachment NAACL 2021
Contributions of Propositional Content and Syntactic Category Information in Sentence Processing NAACL 2021
Efficient Wideband Spectrum Sensing Using MEMS Acoustic Resonators NSDI 2021
Toward Nearly-Zero-Error Sketching via Compressive Sensing NSDI 2021
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models SEMEVAL 2021
Application of kernel hypothesis testing on set-valued data UAI 2021
A kernel two-sample test with selection bias UAI 2021
Hierarchical probabilistic model for blind source separation via Legendre transformation UAI 2021