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Convergence of adaptive algorithms for constrained weakly convex optimization

Volkan Cevher, Ahmet Alacaoglu, Yurii Malitskyi

We analyze the adaptive first order algorithm AMSGrad, for solving a constrained stochastic optimization problem with a weakly convex objective. We prove the

\tilde O(t^{-1/2})

rate of convergence for the squared norm of the gradient of Moreau envelope, ...

2021

Algorithme génétique

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Toward a remote assessment of walking bout and speed: application in patients with multiple sclerosis

Convergence of adaptive algorithms for constrained weakly convex optimization

Optimization methods for collaborative learning

Toward an objective assessment of mobility in clinical and daily activity settings

Optimisation of used nuclear fuel canister loading using a neural network and genetic algorithm

Data-driven optimization of building layouts for energy efficiency

Generalized parallel tempering on Bayesian inverse problems

Shrinking FPGA Static Power via Machine Learning-Based Power Gating and Enhanced Routing

Systematic Method for the Energy-Saving Potential Calculation of Air Conditioning Systems via Data Mining. Part II: A Detailed Case Study

Decentralized Proximal Gradient Algorithms With Linear Convergence Rates

Optimisation of used nuclear fuel canister loading using a neural network and genetic algorithm

Decentralized Proximal Gradient Algorithms With Linear Convergence Rates

Systematic Method for the Energy-Saving Potential Calculation of Air Conditioning Systems via Data Mining. Part II: A Detailed Case Study

Data-driven optimization of building layouts for energy efficiency

Generalized parallel tempering on Bayesian inverse problems

Optimization methods for collaborative learning

Convergence of adaptive algorithms for constrained weakly convex optimization

Toward a remote assessment of walking bout and speed: application in patients with multiple sclerosis

Toward an objective assessment of mobility in clinical and daily activity settings

Shrinking FPGA Static Power via Machine Learning-Based Power Gating and Enhanced Routing