conftrace_

parallel optimization

33 papers

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Co-occurring keywords

bayesian optimization (624) stochastic gradient descent (1091) asynchronous optimization (38) convergence analysis (395) linear convergence (158) multi-objective optimization (364) convergence rate (607) acquisition function (129) coordinate descent (147) parallel computing (146)

Papers

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 NIPS 2023
Hyperparameter Optimization via Sequential Uniform Designs JMLR 2021
Communication-efficient SGD: From Local SGD to One-Shot Averaging NIPS 2021
Faster Multi-Object Segmentation Using Parallel Quadratic Pseudo-Boolean Optimization ICCV 2021
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge ICML 2021
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement NIPS 2021
Randomized Block-Diagonal Preconditioning for Parallel Learning ICML 2020
Improving Neural Network Training in Low Dimensional Random Bases NIPS 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NIPS 2020
Is Local SGD Better than Minibatch SGD? ICML 2020
Complexity of Highly Parallel Non-Smooth Convex Optimization NIPS 2019
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables AISTATS 2019
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption ICML 2018
Best arm identification in multi-armed bandits with delayed feedback AISTATS 2018
Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018
Parallelised Bayesian Optimisation via Thompson Sampling AISTATS 2018
Maximizing acquisition functions for Bayesian optimization NIPS 2018
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design ICML 2018
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NIPS 2016
Cyclades: Conflict-free Asynchronous Machine Learning NIPS 2016
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes NIPS 2016
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care NIPS 2015