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José Bento 0001
Person information
- affiliation: Boston College, MA, USA
- affiliation (former): Stanford University, Electrical Engineering Department, CA, USA
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2020 – today
- 2023
- [j8]Liang Mi, Azadeh Sheikholeslami, José Bento:
A family of pairwise multi-marginal optimal transports that define a generalized metric. Mach. Learn. 112(1): 353-384 (2023) - [c20]Jianxin Wang, José Bento:
Optimal Activation Functions for the Random Features Regression Model. ICLR 2023 - [i28]Minwook Kim, Juseong Kim, José Bento, Giltae Song:
Revisiting Self-Training with Regularized Pseudo-Labeling for Tabular Data. CoRR abs/2302.14013 (2023) - 2022
- [i27]Jianxin Wang, José Bento:
Optimal Activation Functions for the Random Features Regression Model. CoRR abs/2206.01332 (2022) - 2020
- [j7]Guilherme França
, José Bento:
Distributed Optimization, Averaging via ADMM, and Network Topology. Proc. IEEE 108(11): 1939-1952 (2020) - [j6]Armin Moharrer
Massively Distributed Graph Distances. IEEE Trans. Signal Inf. Process. over Networks 6: 667-683 (2020) - [i26]Liang Mi, José Bento:
Multi-Marginal Optimal Transport Defines a Generalized Metric. CoRR abs/2001.11114 (2020) - [i25]Liang Mi, Tianshu Yu, José Bento, Wen Zhang, Baoxin Li, Yalin Wang:
Variational Wasserstein Barycenters for Geometric Clustering. CoRR abs/2002.10543 (2020) - [i24]Guilherme França, José Bento:
Distributed Optimization, Averaging via ADMM, and Network Topology. CoRR abs/2009.02604 (2020)
2010 – 2019
- 2019
- [j5]José Bento
A family of tractable graph metrics. Appl. Netw. Sci. 4(1): 107:1-107:27 (2019) - [c19]Sam Safavi, José Bento:
Tractable n-Metrics for Multiple Graphs. ICML 2019: 5568-5578 - [c18]Laurence Yang, Michael A. Saunders
Estimating Cellular Goals from High-Dimensional Biological Data. KDD 2019: 2202-2211 - [i23]Surjyendu Ray, Bei Jia, Sam Safavi, Tim van Opijnen, Ralph Isberg, Jason Rosch, José Bento:
Exact inference under the perfect phylogeny model. CoRR abs/1908.08623 (2019) - 2018
- [j4]José Bento
On the Complexity of the Weighted Fused Lasso. IEEE Signal Process. Lett. 25(10): 1595-1599 (2018) - [c17]Sam Safavi, Bikash Joshi, Guilherme França, José Bento:
An Explicit Convergence Rate for Nesterov's Method from SDP. ISIT 2018: 1560-1564 - [c16]Bei Jia, Surjyendu Ray, Sam Safavi, José Bento:
Efficient Projection onto the Perfect Phylogeny Model. NeurIPS 2018: 4108-4118 - [c15]José Bento, Stratis Ioannidis
A Family of Tractable Graph Distances. SDM 2018: 333-341 - [i22]José Bento, Stratis Ioannidis:
A Family of Tractable Graph Distances. CoRR abs/1801.04301 (2018) - [i21]Sam Safavi, Bikash Joshi, Guilherme França, José Bento:
An Explicit Convergence Rate for Nesterov's Method from SDP. CoRR abs/1801.04492 (2018) - [i20]José Bento, Surjyendu Ray:
On the Complexity of the Weighted Fussed Lasso. CoRR abs/1801.04987 (2018) - [i19]Sam Safavi, José Bento:
n-metrics for multiple graph alignment. CoRR abs/1807.03368 (2018) - [i18]Laurence Yang, José Bento, Jean-Christophe Lachance, Bernhard O. Palsson:
Genome-scale estimation of cellular objectives. CoRR abs/1807.04245 (2018) - [i17]Bei Jia, Surjyendu Ray, Sam Safavi, José Bento:
Efficient Projection onto the Perfect Phylogeny Model. CoRR abs/1811.01129 (2018) - 2017
- [j3]Guilherme França
Markov Chain Lifting and Distributed ADMM. IEEE Signal Process. Lett. 24(3): 294-298 (2017) - [i16]Jia-Jie Zhu, José Bento:
Generative Adversarial Active Learning. CoRR abs/1702.07956 (2017) - [i15]Guilherme França, José Bento:
Markov Chain Lifting and Distributed ADMM. CoRR abs/1703.03859 (2017) - 2016
- [j2]N. Ben-Zvi, José Bento, Moshe Mahler
Line-Drawing Video Stylization. Comput. Graph. Forum 35(6): 18-32 (2016) - [c14]Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento:
Testing Fine-Grained Parallelism for the ADMM on a Factor-Graph. IPDPS Workshops 2016: 835-844 - [c13]Guilherme França, José Bento:
An explicit rate bound for over-relaxed ADMM. ISIT 2016: 2104-2108 - [i14]José Bento:
A metric for sets of trajectories that is practical and mathematically consistent. CoRR abs/1601.03094 (2016) - [i13]Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento:
Testing fine-grained parallelism for the ADMM on a factor-graph. CoRR abs/1603.02526 (2016) - 2015
- [c12]Charles Mathy, Nate Derbinsky, José Bento, Jonathan Rosenthal, Jonathan S. Yedidia:
The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning. AAAI 2015: 2864-2870 - [c11]José Bento, Nate Derbinsky, Charles Mathy, Jonathan S. Yedidia:
Proximal Operators for Multi-Agent Path Planning. AAAI 2015: 3657-3663 - [i12]José Bento, Nate Derbinsky, Charles Mathy, Jonathan S. Yedidia:
Proximal operators for multi-agent path planning. CoRR abs/1504.01783 (2015) - [i11]Charles Mathy, Nate Derbinsky, José Bento, Jonathan Rosenthal, Jonathan S. Yedidia:
The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning. CoRR abs/1505.02867 (2015) - 2014
- [j1]José Bento Ayres Pereira, Morteza Ibrahimi:
Support Recovery for the Drift Coefficient of High-Dimensional Diffusions. IEEE Trans. Inf. Theory 60(7): 4026-4049 (2014) - [c10]Daniel Zoran, Dilip Krishnan, José Bento, Bill Freeman:
Shape and Illumination from Shading using the Generic Viewpoint Assumption. NIPS 2014: 226-234 - 2013
- [c9]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 - [c8]José Bento, Nate Derbinsky, Javier Alonso-Mora, Jonathan S. Yedidia:
A message-passing algorithm for multi-agent trajectory planning. NIPS 2013: 521-529 - [c7]José Bento, Stratis Ioannidis
A Time and Space Efficient Algorithm for Contextual Linear Bandits. ECML/PKDD (1) 2013: 257-272 - [i10]Nate Derbinsky, José Bento, Veit Elser, Jonathan S. Yedidia:
An Improved Three-Weight Message-Passing Algorithm. CoRR abs/1305.1961 (2013) - [i9]José Bento, Morteza Ibrahimi:
Support Recovery for the Drift Coefficient of High-Dimensional Diffusions. CoRR abs/1308.4077 (2013) - [i8]Nate Derbinsky, José Bento, Jonathan S. Yedidia:
Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive Processing. CoRR abs/1311.4064 (2013) - [i7]José Bento, Nate Derbinsky, Javier Alonso-Mora, Jonathan S. Yedidia:
A message-passing algorithm for multi-agent trajectory planning. CoRR abs/1311.4527 (2013) - 2012
- [c6]Niranjan Damera-Venkata, José Bento:
Ad insertion in automatically composed documents. ACM Symposium on Document Engineering 2012: 3-12 - [c5]José Bento, Stratis Ioannidis
Group recommendations via multi-armed bandits. WWW (Companion Volume) 2012: 463-464 - [i6]José Bento, Stratis Ioannidis, S. Muthukrishnan, Jinyun Yan:
A Time and Space Efficient Algorithm for Contextual Linear Bandits. CoRR abs/1207.3024 (2012) - [i5]José Bento, Nadia Fawaz, Andrea Montanari, Stratis Ioannidis:
Identifying Users From Their Rating Patterns. CoRR abs/1207.6379 (2012) - 2011
- [c4]Niranjan Damera-Venkata, José Bento, Eamonn O'Brien-Strain:
Probabilistic document model for automated document composition. ACM Symposium on Document Engineering 2011: 3-12 - [c3]José Bento, Morteza Ibrahimi, Andrea Montanari:
Information theoretic limits on learning stochastic differential equations. ISIT 2011: 855-859 - [i4]José Bento, Morteza Ibrahimi, Andrea Montanari:
Information Theoretic Limits on Learning Stochastic Differential Equations. CoRR abs/1103.1689 (2011) - [i3]José Bento, Andrea Montanari:
On the trade-off between complexity and correlation decay in structural learning algorithms. CoRR abs/1110.1769 (2011) - 2010
- [c2]Mohsen Bayati, José Bento, Andrea Montanari:
The LASSO risk: asymptotic results and real world examples. NIPS 2010: 145-153 - [c1]José Bento, Morteza Ibrahimi, Andrea Montanari:
Learning Networks of Stochastic Differential Equations. NIPS 2010: 172-180 - [i2]José Bento, Morteza Ibrahimi, Andrea Montanari:
Learning Networks of Stochastic Differential Equations. CoRR abs/1011.0415 (2010)
2000 – 2009
- 2009
- [i1]José Bento, Andrea Montanari:
Which graphical models are difficult to learn? CoRR abs/0910.5761 (2009)
Coauthor Index
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