Statistical Learning

Meritocratic Fairness for Cross-Population Selection ICML 2017 Metrics for Modeling Code-Switching Across Corpora Interspeech 2017 Minimax Density Estimation for Growing Dimension AISTATS 2017 Minimax Estimation of Bandable Precision Matrices NeurIPS 2017 Minimax Estimation of Kernel Mean Embeddings JMLR 2017 Minimax Gaussian Classification & Clustering AISTATS 2017 MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting IJCNLP 2017 MMD GAN: Towards Deeper Understanding of Moment Matching Network NeurIPS 2017 Model-Powered Conditional Independence Test NeurIPS 2017 Multi-Positive and Unlabeled Learning IJCAI 2017 Multi-way Interacting Regression via Factorization Machines NeurIPS 2017 Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions NeurIPS 2017 NeuralFDR: Learning Discovery Thresholds from Hypothesis Features NeurIPS 2017 Noisy Population Recovery from Unknown Noise COLT 2017 Online control of the false discovery rate with decaying memory NeurIPS 2017 On Optimal Generalizability in Parametric Learning NeurIPS 2017 On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models NeurIPS 2017 On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm NeurIPS 2017 On the Complexity of Learning from Label Proportions IJCAI 2017 On the Complexity of Learning Neural Networks NeurIPS 2017 On the Consistency of Ordinal Regression Methods JMLR 2017 On the Distribution of Lexical Features at Multiple Levels of Analysis ACL 2017 On the Interpretability of Conditional Probability Estimates in the Agnostic Setting AISTATS 2017 On the Power of Truncated SVD for General High-rank Matrix Estimation Problems NeurIPS 2017 On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks JMLR 2017