parallel optimization

Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023 Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model NeurIPS 2023 Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge ICML 2021 Communication-efficient SGD: From Local SGD to One-Shot Averaging NeurIPS 2021 Faster Multi-Object Segmentation Using Parallel Quadratic Pseudo-Boolean Optimization ICCV 2021 Hyperparameter Optimization via Sequential Uniform Designs JMLR 2021 Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement NeurIPS 2021 Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NeurIPS 2020 Improving Neural Network Training in Low Dimensional Random Bases NeurIPS 2020 Is Local SGD Better than Minibatch SGD? ICML 2020 Randomized Block-Diagonal Preconditioning for Parallel Learning ICML 2020 Complexity of Highly Parallel Non-Smooth Convex Optimization NeurIPS 2019 Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables AISTATS 2019 Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design ICML 2018 Best arm identification in multi-armed bandits with delayed feedback AISTATS 2018 Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018 Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018 Maximizing acquisition functions for Bayesian optimization NeurIPS 2018 Parallelised Bayesian Optimisation via Thompson Sampling AISTATS 2018 SGD and Hogwild! Convergence Without the Bounded Gradients Assumption ICML 2018 Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017 Batched Gaussian Process Bandit Optimization via Determinantal Point Processes NeurIPS 2016 Cyclades: Conflict-free Asynchronous Machine Learning NeurIPS 2016 The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NeurIPS 2016 An NMF Perspective on Binary Hashing ICCV 2015