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Statistical Learning

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Papers

Moment Matching for Multi-Source Domain Adaptation ICCV 2019 More Efficient Off-Policy Evaluation through Regularized Targeted Learning ICML 2019 Multi-marginal Wasserstein GAN NeurIPS 2019 Multi-Observation Regression AISTATS 2019 Multi-PLDA Diarization on Children’s Speech Interspeech 2019 Multiway clustering via tensor block models NeurIPS 2019 Nasal Consonant Discrimination in Infant- and Adult-Directed Speech Interspeech 2019 Natural Analysts in Adaptive Data Analysis ICML 2019 Non-Asymptotic Uniform Rates of Consistency for k-NN Regression AAAI 2019 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NeurIPS 2019 Nonuniformity of P-values Can Occur Early in Diverging Dimensions JMLR 2019 Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach ICLR 2019 Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT COLT 2019 On Asymptotic and Finite-Time Optimality of Bayesian Predictors JMLR 2019 On Consistent Vertex Nomination Schemes JMLR 2019 On Kernel Derivative Approximation with Random Fourier Features AISTATS 2019 On Lifted Inference Using Neural Embeddings AAAI 2019 On Mean Estimation for General Norms with Statistical Queries COLT 2019 On Medians of (Randomized) Pairwise Means ICML 2019 On Robustness of Principal Component Regression NeurIPS 2019 On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons NeurIPS 2019 On Sparse Linear Regression in the Local Differential Privacy Model ICML 2019 On Testing for Biases in Peer Review NeurIPS 2019 On the Calibration of Multiclass Classification with Rejection NeurIPS 2019 On the Distortion Value of the Elections with Abstention AAAI 2019