On L2-Regularization for Virtual Reference Feedback Tuning

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On L2-Regularization for Virtual Reference Feedback Tuning

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Efficient local linearity regularization to overcome catastrophic overfitting

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

BENIGN LANDSCAPES OF LOW-DIMENSIONAL RELAXATIONS FOR ORTHOGONAL SYNCHRONIZATION ON GENERAL GRAPHS

Navigating the Loop: From Control Systems to Neural Networks and Back

A Combination Technique for Optimal Control Problems Constrained by Random PDEs

Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression

Advanced control strategies to exploit the hydropower potential enhancing ancillary services provision to the power system

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Stability: a search for structure

The effect of smooth parametrizations on nonconvex optimization landscapes

No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO

A method and system for optimizing design, implantation, and stimulation protocols of electrodes stimulating the nervous system

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

Accurate and agile flight with winged drones

Scalable constrained optimization

A Cavity-Microscope for Quantum Simulations with Locally-Controllable All-to-All Interactions

Distributionally Robust Linear Quadratic Control

Mesh-based topology, shape and sizing optimization of ribbed plates

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning