Optimization

Differentially Private Optimal Transport: Application to Domain Adaptation IJCAI 2019 Dimension-Free Bounds for Low-Precision Training NeurIPS 2019 Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning ICML 2019 DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NeurIPS 2019 Direct Acceleration of SAGA using Sampled Negative Momentum AISTATS 2019 Direct Training for Spiking Neural Networks: Faster, Larger, Better AAAI 2019 Discovering Neural Wirings NeurIPS 2019 Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices IJCAI 2019 Distributed estimation of the inverse Hessian by determinantal averaging NeurIPS 2019 Distributed Learning with Sublinear Communication ICML 2019 Distributed Low-rank Matrix Factorization With Exact Consensus NeurIPS 2019 Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets AISTATS 2019 DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS ICLR 2019 Distributionally Adversarial Attack AAAI 2019 Distributionally Robust Language Modeling EMNLP 2019 Distributionally Robust Semi-Supervised Learning for People-Centric Sensing AAAI 2019 Distributionally Robust Submodular Maximization AISTATS 2019 Distributional reinforcement learning with linear function approximation AISTATS 2019 Divergence Prior and Vessel-Tree Reconstruction CVPR 2019 Diverse Image Synthesis From Semantic Layouts via Conditional IMLE ICCV 2019 Don't take it lightly: Phasing optical random projections with unknown operators NeurIPS 2019 DoubleLex Revisited and Beyond IJCAI 2019 Double Quantization for Communication-Efficient Distributed Optimization NeurIPS 2019 DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression ICML 2019 Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution CVPR 2019