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09/04/2023
Self-concordant Smoothing for Convex Composite Optimization
We introduce the notion of self-concordant smoothing for minimizing the ...
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02/09/2023
Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates
Optimization problems involving mixed variables, i.e., variables of nume...
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12/23/2022
A learning-based approach to multi-agent decision-making
We propose a learning-based methodology to reconstruct private informati...
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07/20/2022
Governor: a Reference Generator for Nonlinear Model Predictive Control in Legged Robots
Model Predictive Control (MPC) approaches are widely used in robotics, s...
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04/14/2022
Active Learning for Regression and Classification by Inverse Distance Weighting
This paper proposes an active learning algorithm for solving regression ...
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12/31/2021
Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers
For training recurrent neural network models of nonlinear dynamical syst...
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12/14/2021
SC-Reg: Training Overparameterized Neural Networks under Self-Concordant Regularization
In this paper we propose the SC-Reg (self-concordant regularization) fra...
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11/04/2021
Recurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman Filtering
We investigate the use of extended Kalman filtering to train recurrent n...
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05/12/2021
Mobility-enhanced MPC for Legged Locomotion on Rough Terrain
Re-planning in legged locomotion is crucial to track a given set-point w...
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03/23/2021
A machine-learning approach to synthesize virtual sensors for parameter-varying systems
This paper introduces a novel model-free approach to synthesize virtual ...
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03/10/2021
Piecewise linear regression and classification
This paper proposes a method for solving multivariate regression and cla...
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12/18/2020
Reduction of the Number of Variables in Parametric Constrained Least-Squares Problems
For linearly constrained least-squares problems that depend on a vector ...
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04/02/2020
Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality?
For all its successes, Reinforcement Learning (RL) still struggles to de...
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09/28/2019
Active preference learning based on radial basis functions
This paper proposes a method for solving optimization problems in which ...
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06/15/2019
Global optimization via inverse distance weighting
Global optimization problems whose objective function is expensive to ev...
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09/22/2017
Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected vehicle prognostics
As the connectivity of consumer devices is rapidly growing and cloud com...
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09/21/2017
A posteriori multi-stage optimal trading under transaction costs and a diversification constraint
This paper presents a method for the evaluation of a posteriori (histori...
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08/29/2017