Publications

Pre-prints

  • N. Bastianello, A. Simonetto, E. Dall’Anese. “OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression.” arXiv, code
  • N. Bastianello, L. Madden, R. Carli, E. Dall’Anese. “A Stochastic Operator Framework for Inexact Static and Online Optimization.” Submitted to SIAM Journal on Optimization arXiv
  • N. Bastianello. “tvopt: A Python Framework for Time-Varying Optimization.” arXiv, code
  • N. Bastianello, A. Simonetto, R. Carli. “Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization.” Submitted to SIAM Journal on Optimization arXiv

2021

  • N. Bastianello, E. Dall’Anese. “Distributed and Inexact Proximal Gradient Method for Online Convex Optimization.” 2021 European Control Conference (ECC’21), to be presented arXiv
  • N. Bastianello, R. Carli, L. Schenato, M. Todescato. “Asynchronous Distributed Optimization over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence.” IEEE Trans. Automatic Control, vol. 66, no. 6, pp. 2620 – 2635, Jun. 2021 arXiv, link

2020

  • N. Bastianello, A. Simonetto, R. Carli. “Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization.” 54th Asilomar Conference on Signals, Systems and Computers, Nov. 2020, pp. 47-52 arXiv link
  • N. Bastianello, A. Simonetto, R. Carli. “Prediction-Correction Splittings for Time-Varying Optimization with Intermittent Observations.” IEEE Control Systems Letters, vol. 4, no. 2, pp. 373-378, Apr. 2020 link

2019

  • A. Olama, N. Bastianello, P. Da Costa Mendes, E. Camponogara. “Relaxed Hybrid Consensus ADMM for Distributed Convex Optimization with Coupling Constraints.” IET Control Theory & Applications, vol. 13, no. 17, pp. 2828–2837, Nov. 2019 link
  • N. Bastianello, A. Simonetto, R. Carli. “Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization.” 2019 European Control Conference (ECC’19), Jun. 2019, pp. 1963-1968 arXiv, link
  • N. Bastianello, A. Simonetto, R. Carli. “Prediction-Correction for Nonsmooth Time-Varying Optimization via Forward-Backward Envelopes.” 2019 International Conference on Acoustics, Speech, and Signal Processing (ICASSP’19), May 2019, pp. 5581-5585 arXiv, link

2018

  • N. Bastianello, R. Carli, L. Schenato, M. Todescato. “A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks.” 2018 IEEE Conference on Decision and Control (CDC’18), Dec. 2018, pp. 3379-3384 arXiv, link
  • N. Bastianello, M. Todescato, R. Carli, L. Schenato. “Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach.” 2018 European Control Conference (ECC’18), Jun. 2018, pp. 477-482 arXiv, link