Statistical Learning

A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates COLT 2020 A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning ICML 2020 A Framework for Sample Efficient Interval Estimation with Control Variates AISTATS 2020 Aggregation of Multiple Knockoffs ICML 2020 Agnostic Estimation for Phase Retrieval JMLR 2020 Agnostic Learning of a Single Neuron with Gradient Descent NeurIPS 2020 Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020 A Limitation of the PAC-Bayes Framework NeurIPS 2020 A Linear-time Independence Criterion Based on a Finite Basis Approximation AISTATS 2020 Alleviating Privacy Attacks via Causal Learning ICML 2020 All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation NeurIPS 2020 An approximate KLD based experimental design for models with intractable likelihoods AISTATS 2020 An Asymptotic Rate for the LASSO Loss AISTATS 2020 A New Framework for Online Testing of Heterogeneous Treatment Effect AAAI 2020 A nonasymptotic law of iterated logarithm for general M-estimators AISTATS 2020 An Optimal Elimination Algorithm for Learning a Best Arm NeurIPS 2020 Approximate Cross-Validation for Structured Models NeurIPS 2020 Approximate Cross-Validation in High Dimensions with Guarantees AISTATS 2020 Approximate Cross-Validation with Low-Rank Data in High Dimensions NeurIPS 2020 Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity COLT 2020 A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent NeurIPS 2020 Are Germans Better Haters Than Danes? Language-Specific Implicit Prosodies of Types of Hate Speech and How They Relate to Perceived Severity and Societal Rules Interspeech 2020 A Regularization-Based Adaptive Test for High-Dimensional GLMs JMLR 2020 A Statistical Learning Approach to Modal Regression JMLR 2020 A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning NeurIPS 2020