distributed learning

Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NeurIPS 2018 Distributed Multi-Player Bandits - a Game of Thrones Approach NeurIPS 2018 Distributed Multitask Reinforcement Learning with Quadratic Convergence NeurIPS 2018 Distributed Nonparametric Regression under Communication Constraints ICML 2018 Distributed Prioritized Experience Replay ICLR 2018 Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018 Distributed Weight Consolidation: A Brain Segmentation Case Study NeurIPS 2018 Do Outliers Ruin Collaboration? ICML 2018 Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression ICML 2018 Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints COLT 2018 Gradient Coding from Cyclic MDS Codes and Expander Graphs ICML 2018 Gradient Diversity: a Key Ingredient for Scalable Distributed Learning AISTATS 2018 GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training NeurIPS 2018 LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning NeurIPS 2018 MegDet: A Large Mini-Batch Object Detector CVPR 2018 On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018 Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods ICML 2018 Parallelizing Spectrally Regularized Kernel Algorithms JMLR 2018 Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD AISTATS 2018 Snap ML: A Hierarchical Framework for Machine Learning NeurIPS 2018 SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark CoRL 2018 The Convergence of Sparsified Gradient Methods NeurIPS 2018 The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018 Tight Bounds for Collaborative PAC Learning via Multiplicative Weights NeurIPS 2018 Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization NeurIPS 2018