Rómer Rosales

According to our database, Rómer Rosales authored at least 52 papers between 1999 and 2019.

Collaborative distances:

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

2019

A State Transition Model for Mobile Notifications via Survival Analysis.

Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Rómer Rosales

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Product Ecosystem Optimization at LinkedIn.

Rómer Rosales

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Near Real-time Optimization of Activity-based Notifications.

Yan Gao, Viral Gupta, Jinyun Yan, Changji Shi, Zhongen Tao, P. J. Xiao, Curtis Wang, Shipeng Yu, Rómer Rosales, Ajith Muralidharan, Shaunak Chatterjee

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Optimizing Email Volume For Sitewide Engagement.

Rupesh Gupta, Guanfeng Liang, Rómer Rosales

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework.

Yuanli Pei, Xiaoli Z. Fern, Teresa Vania Tjahja, Rómer Rosales

ACM Trans. Knowl. Discov. Data, 2016

Evaluating Crowdsourcing Participants in the Absence of Ground-Truth.

Ramanathan Subramanian, Rómer Rosales, Glenn Fung, Jennifer G. Dy

CoRR, 2016

Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay.

Yu Shi, Myunghwan Kim, Shaunak Chatterjee, Mitul Tiwari, Souvik Ghosh, Rómer Rosales

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Email Volume Optimization at LinkedIn.

Rupesh Gupta, Guanfeng Liang, Hsiao-Ping Tseng, Ravi Kiran Holur Vijay, Xiaoyu Chen, Rómer Rosales

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Active Learning from Relative Comparisons.

Sicheng Xiong, Yuanli Pei, Rómer Rosales, Xiaoli Z. Fern

IEEE Trans. Knowl. Data Eng., 2015

Discriminative Clustering with Relative Constraints.

Yuanli Pei, Xiaoli Z. Fern, Rómer Rosales, Teresa Vania Tjahja

CoRR, 2015

2014

Simple and Scalable Response Prediction for Display Advertising.

Olivier Chapelle, Eren Manavoglu, Rómer Rosales

ACM Trans. Intell. Syst. Technol., 2014

Learning from multiple annotators with varying expertise.

Yan Yan, Rómer Rosales, Glenn Fung, Subramanian Ramanathan, Jennifer G. Dy

Mach. Learn., 2014

Active Metric Learning from Relative Comparisons.

Sicheng Xiong, Rómer Rosales, Yuanli Pei, Xiaoli Z. Fern

CoRR, 2014

Active learning from uncertain crowd annotations.

Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

Automatic ad format selection via contextual bandits.

Liang Tang, Rómer Rosales, Ajit Singh, Deepak Agarwal

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Active Learning from Multiple Knowledge Sources.

Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Post-click conversion modeling and analysis for non-guaranteed delivery display advertising.

Rómer Rosales, Haibin Cheng, Eren Manavoglu

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

2011

Predictive Models in Personalized Medicine: Neural Information Processing Systems (NIPS), 2010 workshop report.

Faisal Farooq, Balaji Krishnapuram, Rómer Rosales, Shipeng Yu, Jude W. Shavlik, Raju Kucherlapati

SIGHIT Rec., 2011

Bayesian Co-Training.

Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao

J. Mach. Learn. Res., 2011

Active Learning from Crowds.

Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Modeling annotator expertise: Learning when everybody knows a bit of something.

Yan Yan, Rómer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Guest Editorial: Special Issue on impacting patient care by mining medical data.

Rómer Rosales, R. Bharat Rao

Data Min. Knowl. Discov., 2010

Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario.

Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy

Proceedings of the UAI 2010, 2010

Medical coding classification by leveraging inter-code relationships.

Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Active Sensing.

Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Multi-Class Classifiers and their Underlying Shared Structure.

Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy

Proceedings of the IJCAI 2009, 2009

Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis.

Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Data-Efficient Information-Theoretic Test Selection.

Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer

Proceedings of the Artificial Intelligence in Medicine, 2009

2008

Privacy-preserving cox regression for survival analysis.

Shipeng Yu, Glenn Fung, Rómer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Structure learning in random fields for heart motion abnormality detection.

Mark Schmidt, Kevin P. Murphy, Glenn Fung, Rómer Rosales

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Bayesian Co-Training.

Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks.

Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran

Proceedings of the IJCAI 2007, 2007

Feature Selection and Kernel Design via Linear Programming.

Glenn Fung, Rómer Rosales, R. Bharat Rao

Proceedings of the IJCAI 2007, 2007

Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text.

Rómer Rosales, Praveen Krishnamurthy, R. Bharat Rao

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches.

Mark Schmidt, Glenn Fung, Rómer Rosales

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation.

Rómer Rosales, Stan Sclaroff

Int. J. Comput. Vis., 2006

Learning sparse metrics via linear programming.

Rómer Rosales, Glenn Fung

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005

Learning Rankings via Convex Hull Separation.

Glenn Fung, Rómer Rosales, Balaji Krishnapuram

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Focused Inference.

Rómer Rosales, Tommi S. Jaakkola

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Learning to cluster using local neighborhood structure.

Rómer Rosales, Kannan Achan, Brendan J. Frey

Proceedings of the Machine Learning, 2004

2003

A framework for heading-guided recognition of human activity.

Rómer Rosales, Stan Sclaroff

Comput. Vis. Image Underst., 2003

Learning Generative Models of Similarity Matrices.

Rómer Rosales, Brendan J. Frey

Proceedings of the UAI '03, 2003

Unsupervised Image Translation.

Rómer Rosales, Kannan Achan, Brendan J. Frey

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002

Algorithms for Inference in Specialized Maps for Recovering 3D Hand Pose.

Rómer Rosales, Stan Sclaroff

Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2002), 2002

2001

Learning Body Pose via Specialized Maps.

Rómer Rosales, Stan Sclaroff

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Motion Mining.

Stan Sclaroff, George Kollios, Margrit Betke, Rómer Rosales

Proceedings of the Multimedia Databases and Image Communication, 2001

3D Hand Pose Reconstruction Using Specialized Mappings.

Rómer Rosales, Vassilis Athitsos, Leonid Sigal, Stan Sclaroff

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Estimating 3D Body Pose using Uncalibrated Cameras.

Rómer Rosales, Matheen Siddiqui, Jonathan Alon, Stan Sclaroff

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000

Specialized Mappings and the Estimation of Human Body Pose from a Single Image.

Rómer Rosales, Stan Sclaroff

Proceedings of the Workshop on Human Motion, 2000

Learning and Synthesizing Human Body Motion and Posture.

Rómer Rosales, Stan Sclaroff

Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), 2000

Inferring Body Pose without Tracking Body Parts.

Rómer Rosales, Stan Sclaroff

Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999

3D Trajectory Recovery for Tracking Multiple Objects and Trajectory Guided Recognition of Actions.

Rómer Rosales, Stan Sclaroff

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999