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Papers (including subtopics)

Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017 Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems NeurIPS 2017 Risk Bounds for Transferring Representations With and Without Fine-Tuning ICML 2017 Robust and Proper Learning for Mixtures of Gaussians via Systems of Polynomial Inequalities COLT 2017 Robust and Scalable Bayes via a Median of Subset Posterior Measures JMLR 2017 Robust Asymmetric Bayesian Adaptive Matrix Factorization IJCAI 2017 Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017 Robust Conditional Probabilities NeurIPS 2017 Robust Estimation of Neural Signals in Calcium Imaging NeurIPS 2017 Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017 Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes NeurIPS 2017 Robust Joint and Individual Variance Explained CVPR 2017 Robustness Over Time-Varying Channels in DNN-HMM ASR Based Human-Robot Interaction Interspeech 2017 Robust Optimization for Non-Convex Objectives NeurIPS 2017 Robust Quadratic Programming for Price Optimization IJCAI 2017 Robust Regression via Heuristic Hard Thresholding IJCAI 2017 Robust Structured Estimation with Single-Index Models ICML 2017 Robust Validation of Network Designs under Uncertain Demands and Failures NSDI 2017 Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior IJCNLP 2017 ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery IJCAI 2017 Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement ICML 2017 Runtime Neural Pruning NeurIPS 2017 Safe Adaptive Importance Sampling NeurIPS 2017 Safe Inductions: An Algebraic Study IJCAI 2017 Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions NeurIPS 2017