Computer Science Faculty
José Bento
Associate Professor
José Bento
Ph.D.
Contact
245 Beacon Street 324I
Telephone: 617-552-1780
Email: jose.bento@bc.edu
Education
- Ph.D., Stanford University
Research Interests
José Bento's current research lies at the intersection of distributed algorithms and machine learning.
Department
Selected Publications
- L. Yang, J. Bento, J.-C. Lachance, and B. O. Palsson, Genome-scale estimation of cellular objectives, 2018
- S. Safavi, J. Bento, n-metrics for multiple graph alignment, 2018
- S. Safavi, J. Bento, Networks and large scale optimization, OSDC 2018 Tutorials
- J. Bento, S. Ioannidis, A Family of tractable graph distances, SDM 2018 S. Safavi, B. Joshi, G. França, J. Bento, An explicit convergence rate for Nesterov's method from SDP, ISIT 2018
- J. Bento, R. Furmaniak, S. Ray, On the complexity of the weighted fused Lasso, IEEE Letters in Signal Processing 2018
- J. J. Zhu, J. Bento, Generative adversarial active learning, 2017
- G. França, J. Bento, Markov chain lifting and distributed ADMM , IEEE Letters in Signal Processing 2017
- T. van Opijnen, S. Dedrick, J. Bento, Strain dependent genetic networks for antibiotic-sensitivity in a bacterial pathogen with a large pan-genome, Plos Pathogens 2016
- J. Bento, J.J. Zhu A metric for sets of trajectories that is practical and mathematically consistent, 2016, [Comp]
- G. França, J. Bento, Tuning over-relaxed ADMM , NIPS 2016 Workshops
- G. França, J. Bento, An explicit rate bound for the over-relaxed ADMM, ISIT 2016, [Video]
- N. Hao, A. Oghbaee, M. Rostami, N. Derbinsky, J. Bento, Testing fine-grained parallelism for the ADMM on a factor-graph, IPDPS 2016 Workshops and GPU Tech Conference 2016, [Code]
- C. Mathy, F. Gonda, D. Shmidt, N. Derbinsky, A. Alemi, J. Bento, F. Delle Fave, J. Yedidia, SPARTA: Fast global planning of collision-avoiding robot trajectories, NIPS 2015 Workshops
- N. Ben-Zvi, J. Bento, M. Mahler, J. Hodgins, A. Shamir, Line-Drawing video stylization, Computer Graphics Forum 2015, [Video]
- J. Bento, N. Derbinsky, C. Mathy, J. Yedidia, Proximal operators for multi-agent path planning, AAAI 2015, [Video]
- C. Mathy, N. Derbinsky, J. Bento, J. Rosenthal, J. Yedidia, The BF algorithm for online supervised and unsupervised learning, AAAI 2015
- D. Krishnan, B. Freeman, J. Bento, D. Zoran, Shape and illumination from shading using the generic viewpoint assumption, NIPS 2014
- J. Bento, N. Derbinsky, J. Mora, J. Yedidia, A message-passing algorithm for multi-agent trajectory planning, NIPS 2013, [Video]
- N. Derbinsky, J. Bento, J. Yedidia, Integrating knowledge with the TWA for hybrid cognitive processing, AAAI 2013
- J. Bento, M. Ibrahimi, Support recovery for the drift coefficient of high-dimensional diffusions, IEEE IT 2013, [Video]
- J. Bento, S. Ioannidis, S. Muthu., J. Yan, A time and space efficient algorithm for contextual linear bandits, ECML 2013
- N. Derbinsky, J. Bento, V. Elser, J. Yedidia, An improved three-weight message-passing algorithm, 2013, [Video 1] [Video 2]
- J. Bento, Learning graphical models, fundamental limits and efficient algorithms, PhD Thesis 2012
- N. Damera, J. Bento, Ad Insertion in automatically composed documents, DocEng 2012
- J. Bento, A. Montanari, On the trade-off between complexity and correlation decay in structural learning algorithms, 2011
- J. Bento, N. Fawaz, A. Montanari, S. Ioannidis, Identifying users from their rating patterns, RecSys 2011
- N. Damera, J. Bento, E. O'Brien, Probabilistic document model, DocEng 2011
- J. Bento, M. Ibrahimi, A. Montanari, Information theoretic limits on learning stochastic differential equations, ISIT 2011, [Video]
- M. Bayati, J. Bento, A. Montanari, The LASSO Risk: asymptotic results and real world examples, NIPS 2010
- J. Bento, M. Ibrahimi, A. Montanari, Learning networks of stochastic differential equations, NIPS 2010, [Video]
- J. Bento, A. Montanari, Which graphical models are difficult to learn?, NIPS 2009