statistical learning

The Well-Tempered Lasso ICML 2018 tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models JMLR 2018 Uncertainty-aware generative models for inferring document class prevalence EMNLP 2018 Achieving Optimal Misclassification Proportion in Stochastic Block Models JMLR 2017 A Universal Analysis of Large-Scale Regularized Least Squares Solutions NeurIPS 2017 Cross-lingual and cross-domain discourse segmentation of entire documents ACL 2017 Early stopping for kernel boosting algorithms: A general analysis with localized complexities NeurIPS 2017 Fast rates with high probability in exp-concave statistical learning AISTATS 2017 Importance sampling for unbiased on-demand evaluation of knowledge base population EMNLP 2017 Minimax Estimation of Kernel Mean Embeddings JMLR 2017 On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models NeurIPS 2017 Rational Distortions of Learners’ Linguistic Input CoNLL 2017 Robust Conditional Probabilities NeurIPS 2017 Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions NeurIPS 2017 Uniform Convergence Rates for Kernel Density Estimation ICML 2017 Uniform Deviation Bounds for k-Means Clustering ICML 2017 Barron and Cover’s Theory in Supervised Learning and its Application to Lasso ICML 2016 Data-driven Rank Breaking for Efficient Rank Aggregation JMLR 2016 Group MAD Competition - A New Methodology to Compare Objective Image Quality Models CVPR 2016 Learning Theory for Distribution Regression JMLR 2016 Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences NeurIPS 2016 More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning NeurIPS 2016 On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability NeurIPS 2016 Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects AISTATS 2016 A Bayesian nonparametric procedure for comparing algorithms ICML 2015