CV HAL - Andrea Simonetto

Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2025, Sep 2025, Porto, Portugal. pp.164-182, ⟨10.1007/978-3-032-06096-9_10⟩

Communication dans un congrès hal-05329399v1

Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts

Eliabelle Mauduit , Andrea Simonetto

Asilomar Conference on Signals, Systems, and Computers, Oct 2023, Pacific Grove, United States

Communication dans un congrès hal-04338752v1

Optimization Filters for Stochastic Time-Varying Convex Optimization

Andrea Simonetto , Paolo Massioni

European Control Conference, Jun 2023, Bucharest, Romania. ⟨10.23919/ECC57647.2023.10178237⟩

Communication dans un congrès hal-04131646v1

Optimizing Variational Circuits for Higher-Order Binary Optimization

Zoé Verchère , Sourour Elloumi , Andrea Simonetto

IEEE International Conference on Quantum Computing and Engineering (QCE), Sep 2023, Seattle (WA), United States. ⟨10.1109/QCE57702.2023.00011⟩

Communication dans un congrès hal-04174561v1

Sketching the Best Approximate Quantum Compiling Problem

Liam Madden , Albert Akhriev , Andrea Simonetto

2022 IEEE International Conference on Quantum Computing and Engineering (QCE), Sep 2022, Broomfield, CO, United States. ⟨10.1109/QCE53715.2022.00071⟩

Communication dans un congrès hal-03664784v1

Achievement and Fragility of Long-term Equitability

Andrea Simonetto , Ivano Notarnicola

Artificial Intelligence, Ethics, and Society (AIES), Aug 2022, Oxford, United Kingdom. ⟨10.1145/3514094.3534132⟩

Communication dans un congrès hal-03705458v1

OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression

Nicola Bastianello , Andrea Simonetto , Emiliano Dall'Anese

Learning for Dynamics & Control Conference, Jun 2022, Stanford, United States

Communication dans un congrès hal-03664795v1

Learning equilibria with personalized incentives in a class of nonmonotone games

Filippo Fabiani , Andrea Simonetto , Paul J. Goulart

European Control Conference, Jul 2022, London, United Kingdom

Communication dans un congrès hal-03429468v1

Optimizing through change for cyber-physical and social systems

Andrea Simonetto

Optimization and Control [math.OC]. Institut Polytechnique de Paris, 2022

HDR tel-03775476v1

Differentiable Optimisation: Theory and Algorithms -- Part II: Algorithms

Andrea Simonetto

Engineering school. ENSTA Paris, France. 2025

Cours hal-04416966v2

Andrea Simonetto

Présentation

Publications

Publications

No-regret optimization of time-varying bilevel problems

No-Regret Gaussian Process Optimization of Time-Varying Functions

Sampled-Based Guided Quantum Walk: Non-variational quantum algorithm for combinatorial optimization

MAPL: Model Agnostic Peer-to-peer Learning

Variational quantum algorithms for permutation-based combinatorial problems: Optimal ansatz generation with applications to quadratic assignment problems and beyond

Concentration inequalities for semidefinite least squares based on data

High-Resolution Inertial Dynamics with Time-Rescaled Gradients for Nonsmooth Convex Optimization

Efficient Quantum Circuits for Non-Unitary and Unitary Diagonal Operators with Space-Time-Accuracy trade-offs

Non-unitary enhanced transfer efficiency in quantum walk search on complex networks

Incentives and co-evolution: Steering linear dynamical systems with noncooperative agents

Flexible Optimization for Cyber-Physical and Human Systems

Nonlinear Optimization Filters for Stochastic Time-Varying Convex Optimization

Personalized incentives as feedback design in generalized Nash equilibrium problems

Time-Varying Optimization of Networked Systems With Human Preferences

Renewable-based charging in green ride-sharing

A Quantum Algorithm for the Sub-Graph Isomorphism Problem

Extrapolation-based Prediction-Correction Methods for Time-varying Convex Optimization

Distributed Personalized Gradient Tracking with Convex Parametric Models

Best Approximate Quantum Compiling Problems

Personalized optimization with user’s feedback

Time-Varying Gaussian Process Bandit Optimization with Experts: No-Regret in Logarithmically-Many Side Queries

Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts

Optimization Filters for Stochastic Time-Varying Convex Optimization

Optimizing Variational Circuits for Higher-Order Binary Optimization

Sketching the Best Approximate Quantum Compiling Problem

Achievement and Fragility of Long-term Equitability

OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression

Learning equilibria with personalized incentives in a class of nonmonotone games

Optimizing through change for cyber-physical and social systems

Differentiable Optimisation: Theory and Algorithms -- Part II: Algorithms