José Bento

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 31

Top Topics

Trajectory Planning

Network Topology

Exact Inference

Top Venues

IEEE Signal Process. Lett.

Publications

Jianxin Wang, José Bento
Optimal Activation Functions for the Random Features Regression Model. ICLR (2023)
Liang Mi, Azadeh Sheikholeslami, José Bento
A family of pairwise multi-marginal optimal transports that define a generalized metric. Mach. Learn. 112 (1) (2023)
Miwook Kim, Juseong Kim, José Bento, Giltae Song
Revisiting Self-Training with Regularized Pseudo-Labeling for Tabular Data. CoRR (2023)
Jianxin Wang, José Bento
Optimal Activation Functions for the Random Features Regression Model. CoRR (2022)
Liang Mi, José Bento
Multi-Marginal Optimal Transport Defines a Generalized Metric. CoRR (2020)
Guilherme França, José Bento
Distributed Optimization, Averaging via ADMM, and Network Topology. CoRR (2020)
Guilherme França, José Bento
Distributed Optimization, Averaging via ADMM, and Network Topology. Proc. IEEE 108 (11) (2020)
Armin Moharrer, Jasmin Gao, Shikun Wang, José Bento, Stratis Ioannidis
Massively Distributed Graph Distances. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Liang Mi, Tianshu Yu, José Bento, Wen Zhang, Baoxin Li, Yalin Wang
Variational Wasserstein Barycenters for Geometric Clustering. CoRR (2020)
José Bento, Stratis Ioannidis
A family of tractable graph metrics. Appl. Netw. Sci. 4 (1) (2019)
Laurence Yang, Michael A. Saunders, Jean-Christophe Lachance, Bernhard O. Palsson, José Bento
Estimating Cellular Goals from High-Dimensional Biological Data. KDD (2019)
Sam Safavi, José Bento
Tractable n-Metrics for Multiple Graphs. ICML (2019)
Surjyendu Ray, Bei Jia, Sam Safavi, Tim van Opijnen, Ralph Isberg, Jason Rosch, José Bento
Exact inference under the perfect phylogeny model. CoRR (2019)
Bei Jia, Surjyendu Ray, Sam Safavi, José Bento
Efficient Projection onto the Perfect Phylogeny Model. CoRR (2018)
José Bento, Surjyendu Ray
On the Complexity of the Weighted Fussed Lasso. CoRR (2018)
Sam Safavi, Bikash Joshi, Guilherme França, José Bento
An Explicit Convergence Rate for Nesterov's Method from SDP. ISIT (2018)
Sam Safavi, Bikash Joshi, Guilherme França, José Bento
An Explicit Convergence Rate for Nesterov's Method from SDP. CoRR (2018)
José Bento, Ralph Furmaniak, Surjyendu Ray
On the Complexity of the Weighted Fused Lasso. IEEE Signal Process. Lett. 25 (10) (2018)
José Bento, Stratis Ioannidis
A Family of Tractable Graph Distances. SDM (2018)
Laurence Yang, José Bento, Jean-Christophe Lachance, Bernhard O. Palsson
Genome-scale estimation of cellular objectives. CoRR (2018)
Sam Safavi, José Bento
n-metrics for multiple graph alignment. CoRR (2018)
Bei Jia, Surjyendu Ray, Sam Safavi, José Bento
Efficient Projection onto the Perfect Phylogeny Model. NeurIPS (2018)
José Bento, Stratis Ioannidis
A Family of Tractable Graph Distances. CoRR (2018)
Guilherme França, José Bento
Markov Chain Lifting and Distributed ADMM. CoRR (2017)
Guilherme França, José Bento
Markov Chain Lifting and Distributed ADMM. IEEE Signal Process. Lett. 24 (3) (2017)
Jia-Jie Zhu, José Bento
Generative Adversarial Active Learning. CoRR (2017)
José Bento
A metric for sets of trajectories that is practical and mathematically consistent. CoRR (2016)
Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento
Testing fine-grained parallelism for the ADMM on a factor-graph. CoRR (2016)
N. Ben-Zvi, José Bento, Moshe Mahler, Jessica K. Hodgins, Ariel Shamir
Line-Drawing Video Stylization. Comput. Graph. Forum 35 (6) (2016)
Guilherme França, José Bento
An explicit rate bound for over-relaxed ADMM. ISIT (2016)
Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento
Testing Fine-Grained Parallelism for the ADMM on a Factor-Graph. IPDPS Workshops (2016)
Charles Mathy, Nate Derbinsky, José Bento, Jonathan Rosenthal, Jonathan S. Yedidia
The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning. AAAI (2015)
José Bento, Nate Derbinsky, Charles Mathy, Jonathan S. Yedidia
Proximal Operators for Multi-Agent Path Planning. AAAI (2015)
Charles Mathy, Nate Derbinsky, José Bento, Jonathan Rosenthal, Jonathan S. Yedidia
The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning. CoRR (2015)
José Bento, Nate Derbinsky, Charles Mathy, Jonathan S. Yedidia
Proximal operators for multi-agent path planning. CoRR (2015)
Daniel Zoran, Dilip Krishnan, José Bento, Bill Freeman
Shape and Illumination from Shading using the Generic Viewpoint Assumption. NIPS (2014)
Nate Derbinsky, José Bento, Veit Elser, Jonathan S. Yedidia
An Improved Three-Weight Message-Passing Algorithm CoRR (2013)
Nate Derbinsky, José Bento, Jonathan S. Yedidia
Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive Processing. CoRR (2013)
Nate Derbinsky, José Bento, Jonathan S. Yedidia
Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive Processing. AAAI Fall Symposia (2013)
José Bento, Nate Derbinsky, Javier Alonso-Mora, Jonathan S. Yedidia
A message-passing algorithm for multi-agent trajectory planning. NIPS (2013)
José Bento, Nate Derbinsky, Javier Alonso-Mora, Jonathan S. Yedidia
A message-passing algorithm for multi-agent trajectory planning. CoRR (2013)
José Bento, Morteza Ibrahimi
Support Recovery for the Drift Coefficient of High-Dimensional Diffusions. CoRR (2013)
José Bento, Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan
A Time and Space Efficient Algorithm for Contextual Linear Bandits. ECML/PKDD (1) (2013)
José Bento, Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan
A Time and Space Efficient Algorithm for Contextual Linear Bandits CoRR (2012)
José Bento, Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan
Group recommendations via multi-armed bandits. WWW (Companion Volume) (2012)
José Bento, Nadia Fawaz, Andrea Montanari, Stratis Ioannidis
Identifying Users From Their Rating Patterns CoRR (2012)
Niranjan Damera-Venkata, José Bento
Ad insertion in automatically composed documents. ACM Symposium on Document Engineering (2012)
José Bento, Andrea Montanari
On the trade-off between complexity and correlation decay in structural learning algorithms CoRR (2011)
José Bento, Morteza Ibrahimi, Andrea Montanari
Information Theoretic Limits on Learning Stochastic Differential Equations CoRR (2011)
José Bento, Morteza Ibrahimi, Andrea Montanari
Information theoretic limits on learning stochastic differential equations. ISIT (2011)
Niranjan Damera-Venkata, José Bento, Eamonn O'Brien-Strain
Probabilistic document model for automated document composition. ACM Symposium on Document Engineering (2011)
José Bento, Morteza Ibrahimi, Andrea Montanari
Learning Networks of Stochastic Differential Equations CoRR (2010)
José Bento, Morteza Ibrahimi, Andrea Montanari
Learning Networks of Stochastic Differential Equations. NIPS (2010)
Mohsen Bayati, José Bento, Andrea Montanari
The LASSO risk: asymptotic results and real world examples. NIPS (2010)
José Bento, Andrea Montanari
Which graphical models are difficult to learn? CoRR (2009)