Stochastic Methods

Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints IJCAI 2019 Communication and Memory Efficient Testing of Discrete Distributions COLT 2019 Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019 Communication trade-offs for Local-SGD with large step size NeurIPS 2019 Complexities in Projection-Free Stochastic Non-convex Minimization AISTATS 2019 Constraint Solving and Optimization Using Evolutionary Techniques IJCAI 2019 Continuous-time Models for Stochastic Optimization Algorithms NeurIPS 2019 Convergence Rate of a Simulated Annealing Algorithm with Noisy Observations JMLR 2019 Crawling the Community Structure of Multiplex Networks AAAI 2019 Decentralized Optimization with Edge Sampling IJCAI 2019 Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication ICML 2019 Differentiable reservoir computing JMLR 2019 Diffusion and Auction on Graphs IJCAI 2019 Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning ICML 2019 Discovering Dialog Rules by Means of an Evolutionary Approach Interspeech 2019 Discrepancy, Coresets, and Sketches in Machine Learning COLT 2019 Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices IJCAI 2019 Distributed Learning with Sublinear Communication ICML 2019 Distributionally Robust Submodular Maximization AISTATS 2019 DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression ICML 2019 DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization JMLR 2019 Dynamic Pricing in High-dimensions JMLR 2019 Efficient Algorithms for Smooth Minimax Optimization NeurIPS 2019 Efficient Convex Relaxations for Streaming PCA NeurIPS 2019 Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates ACML 2019