distributed computing

Efficient Algorithms for Device Placement of DNN Graph Operators NeurIPS 2020 Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning AAAI 2020 Sample complexity bounds for localized sketching AISTATS 2020 SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference ICLR 2020 Sol: Fast Distributed Computation Over Slow Networks NSDI 2020 What graph neural networks cannot learn: depth vs width ICLR 2020 Computation Efficient Coded Linear Transform AISTATS 2019 On Distributed Averaging for Stochastic k-PCA NeurIPS 2019 Sampling Sketches for Concave Sublinear Functions of Frequencies NeurIPS 2019 Achieving the time of 1-NN, but the accuracy of k-NN AISTATS 2018 Adversarial Task Assignment IJCAI 2018 ASAP: Fast, Approximate Graph Pattern Mining at Scale OSDI 2018 Batch-Expansion Training: An Efficient Optimization Framework AISTATS 2018 DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding ICML 2018 Distributed Pareto Optimization for Subset Selection IJCAI 2018 Distributing Frank-Wolfe via Map-Reduce IJCAI 2018 DMC: A Distributed Model Counter IJCAI 2018 Mesh-TensorFlow: Deep Learning for Supercomputers NeurIPS 2018 Ray: A Distributed Framework for Emerging AI Applications OSDI 2018 RLlib: Abstractions for Distributed Reinforcement Learning ICML 2018 Simple, Distributed, and Accelerated Probabilistic Programming NeurIPS 2018 Affinity Clustering: Hierarchical Clustering at Scale NeurIPS 2017 Coded Distributed Computing for Inverse Problems NeurIPS 2017 On the Computational Complexity of Gossip Protocols IJCAI 2017 Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication NeurIPS 2017