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Papers (including subtopics)

Sobolev Descent AISTATS 2019 Sobolev Independence Criterion NeurIPS 2019 Solving Empirical Risk Minimization in the Current Matrix Multiplication Time COLT 2019 Solving graph compression via optimal transport NeurIPS 2019 Solving Integer Quadratic Programming via Explicit and Structural Restrictions AAAI 2019 Solving Partially Observable Stochastic Games with Public Observations AAAI 2019 Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method JMLR 2019 Solving Vision Problems via Filtering ICCV 2019 Sorted Top-k in Rounds COLT 2019 Space and Time Efficient Kernel Density Estimation in High Dimensions NeurIPS 2019 Space lower bounds for linear prediction in the streaming model COLT 2019 Sparse High-Dimensional Isotonic Regression NeurIPS 2019 Sparse Reject Option Classifier Using Successive Linear Programming AAAI 2019 Spectral Approximate Inference ICML 2019 Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager CVPR 2019 Spectrum Estimation from a Few Entries JMLR 2019 Speech Separation Using Independent Vector Analysis with an Amplitude Variable Gaussian Mixture Model Interspeech 2019 SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019 SpiderBoost and Momentum: Faster Variance Reduction Algorithms NeurIPS 2019 SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA ACML 2019 SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points NeurIPS 2019 Stable and Practical AS Relationship Inference with ProbLink NSDI 2019 Stardust: Divide and Conquer in the Data Center Network NSDI 2019 State Aggregation Learning from Markov Transition Data NeurIPS 2019 Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem NeurIPS 2019