Camilo Ortiz

According to our database, Camilo Ortiz authored at least 11 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

PDQ 2.0: Flexible Infrastructure for Integrating Reasoning and Query Planning.

Michael Benedikt, Fergus R. Cooper, Stefano Germano, Gabor Gyorkei, Efthymia Tsamoura, Brandon Moore, Camilo Ortiz

SIGMOD Rec., December, 2022

2019

Dialogue Act Classification in Group Chats with DAG-LSTMs.

Ozan Irsoy, Rakesh Gosangi, Haimin Zhang, Mu-Hsin Wei, Peter Lund, Duccio Pappadopulo, Brendan Fahy, Neophytos Nephytou, Camilo Ortiz

CoRR, 2019

2018

Mining massive hierarchical data using a scalable probabilistic graphical model.

Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, Hao Peng, William S. York, René Ranzinger, Melody P. Porterfield

Inf. Sci., 2018

2016

An adaptive accelerated first-order method for convex optimization.

Renato D. C. Monteiro, Camilo Ortiz, Benar Fux Svaiter

Comput. Optim. Appl., 2016

2015

Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model.

Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, William S. York, René Ranzinger, Melody P. Porterfield

CoRR, 2015

Query sense disambiguation leveraging large scale user behavioral data.

Mohammed Korayem, Camilo Ortiz, Khalifeh AlJadda, Trey Grainger

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

A first-order block-decomposition method for solving two-easy-block structured semidefinite programs.

Renato D. C. Monteiro, Camilo Ortiz, Benar Fux Svaiter

Math. Program. Comput., 2014

Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior.

Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Chris Russell, David Bernal, Lamar Payson, Scott Brown, Trey Grainger

CoRR, 2014

Implementation of a block-decomposition algorithm for solving large-scale conic semidefinite programming problems.

Renato D. C. Monteiro, Camilo Ortiz, Benar Fux Svaiter

Comput. Optim. Appl., 2014

PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems.

Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, William S. York

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2010

Semidefinite relaxations of dynamical programs under discrete constraints.

Camilo Ortiz, René Meziat

Optim. Lett., 2010