Follow
Guilherme Starvaggi Franša
Guilherme Starvaggi Franša
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
ADMM and Accelerated ADMM as Continuous Dynamical Systems
G Franša, DP Robinson, R Vidal
International Conference on Machine Learning 2018, 2018
782018
Conformal symplectic and relativistic optimization
G Franša, J Sulam, DP Robinson, R Vidal
Journal of Statistical Mechanics: Theory and Experiment 2020, 124008, 2020
522020
On dissipative symplectic integration with applications to gradient-based optimization
G Franša, MI Jordan, R Vidal
Journal of Statistical Mechanics: Theory and Experiment 2021 (4), 043402, 2021
412021
A nonsmooth dynamical systems perspective on accelerated extensions of ADMM
G Franša, DP Robinson, R Vidal
IEEE Transactions on Automatic Control 68 (5), 2966-2978, 2023
36*2023
An explicit rate bound for over-relaxed ADMM
G Franša, J Bento
2016 IEEE International Symposium on Information Theory (ISIT), 2104-2108, 2016
332016
Understanding the dynamics of gradient flow in overparameterized linear models
S Tarmoun, G Franca, BD Haeffele, R Vidal
International Conference on Machine Learning, 10153-10161, 2021
302021
Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization
G Franša, DP Robinson, R Vidal
Physical Review E 103 (5), 053304, 2021
25*2021
Negative even grade mKdV hierarchy and its soliton solutions
JF Gomes, GS Franša, GR de Melo, AH Zimerman
J. Phys. A: Math. Theor. 42, 445204, 2009
252009
Transcendental equations satisfied by the individual zeros of Riemann , Dirichlet and modular -functions
G Franša, A LeClair
Communications in Number Theory and Physics, Vol. 9, No. 1 (2015), arXivá…, 2015
232015
How is distributed ADMM affected by network topology?
G Franša, J Bento
arXiv preprint arXiv:1710.00889, 2017
192017
Kernel k-groups via Hartigan’s method
G Franša, ML Rizzo, JT Vogelstein
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (12), 4411á…, 2020
142020
Markov Chain Lifting and Distributed ADMM
G Franša, J Bento
IEEE Signal Processing Letters, arXiv:1703.03859 [stat.ML] 24 (3), 294 - 298, 2017
142017
Geometric Methods for Sampling, Optimization, Inference and Adaptive Agents
A Barp, L Da Costa, G Franša, K Friston, M Girolami, MI Jordan, ...
Handbook of Statistics, Vol. 46, 2022, pp 21-78, 2022
132022
Optimization on manifolds: A symplectic approach
G Franša, A Barp, M Girolami, MI Jordan
arXiv preprint arXiv:2107.11231, 2021
132021
The higher grading structure of the WKI hierarchy and the two-component short pulse equation
GS Franca, JF Gomes, AH Zimerman
Journal of High Energy Physics 2012 (8), 1-25, 2012
122012
Statistical and other properties of Riemann zeros based on an explicit equation for the -th zero on the critical line
G Franša, A LeClair
arXiv preprint arXiv:1307.8395, 2013
10*2013
Some Riemann Hypotheses from random walks over primes
G Franša, A LeClair
Communications in Contemporary Mathematics 20 (07), 1750085, 2018
9*2018
An Explicit Convergence Rate for Nesterov's Method from SDP
S Safavi, B Joshi, G Franša, J Bento
2018 IEEE International Symposium on Information Theory (ISIT), 2018
92018
Nonvanishing boundary condition for the mKdV hierarchy and the Gardner equation
JF Gomes, GS Franša, AH Zimerman
Journal of Physics A: Mathematical and Theoretical 45 (1), 015207, 2011
92011
Distributed optimization, averaging via ADMM, and network topology
G Franša, J Bento
Proceedings of the IEEE 108 (11), 1939-1952, 2020
82020
The system can't perform the operation now. Try again later.
Articles 1–20