Learning to Optimize with Convergence Guarantees Using Nonlinear System Theory

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Learning to Optimize with Convergence Guarantees Using Nonlinear System Theory

Chattez avec Graph Search

Data-driven control in atomic force microscopy using a genetic algorithm

Improving the accuracy and interpretability of neural networks for wind power forecasting

Accelerating Spectral Clustering under Fairness Constraints

WILD SOLUTIONS TO SCALAR EULER-LAGRANGE EQUATIONS

Diffusion Moving-Average Adaptation Over Networks

Learning Barrier-Certified Polynomial Dynamical Systems for Obstacle Avoidance with Robots

CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints

Multi-Level Monte Carlo Methods for Uncertainty Quantification and Risk-Averse Optimisation

On improving the efficiency of modifier adaptation via directional information

An Accelerated First-Order Method for Non-convex Optimization on Manifolds

Mixed Nash Equilibria in the Adversarial Examples Game

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features

Real-time control of an electric vehicle charging station while tracking an aggregated power-setpoint

Linear Speedup In Saddle-Point Escape For Decentralized Non-Convex Optimization

Enforcing optimal operation in solid-oxide fuel-cell systems

Streaming Principal Component Analysis From Incomplete Data

Linear-parameter-varying approximation of nonlinear dynamics for model predictive flow control of urban multi-region systems

Sharp sphere packings

Data-Driven Controller Design for Atomic-Force Microscopy

Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC