Rómer Rosales

Publication Activity (10 Years)

Years Active: 1999-2022
Publications (10 Years): 11

Top Topics

Semi Supervised

State Transition Model

Hypergraph Partitioning

Top Venues

Publications

Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Rómer Rosales
A State Transition Model for Mobile Notifications via Survival Analysis. CoRR (2022)
Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Rómer Rosales
A State Transition Model for Mobile Notifications via Survival Analysis. WSDM (2019)
Rómer Rosales
Product Ecosystem Optimization at LinkedIn. KDD (2019)
Yan Gao, Viral Gupta, Jinyun Yan, Changji Shi, Zhongen Tao, P. J. Xiao, Curtis Wang, Shipeng Yu, Rómer Rosales, Ajith Muralidharan, Shaunak Chatterjee
Near Real-time Optimization of Activity-based Notifications. KDD (2018)
Rupesh Gupta, Guanfeng Liang, Rómer Rosales
Optimizing Email Volume For Sitewide Engagement. CIKM (2017)
Yu Shi, Myunghwan Kim, Shaunak Chatterjee, Mitul Tiwari, Souvik Ghosh, Rómer Rosales
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay. KDD (2016)
Ramanathan Subramanian, Rómer Rosales, Glenn Fung, Jennifer G. Dy
Evaluating Crowdsourcing Participants in the Absence of Ground-Truth. CoRR (2016)
Yuanli Pei, Xiaoli Z. Fern, Teresa Vania Tjahja, Rómer Rosales
Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework. ACM Trans. Knowl. Discov. Data 11 (2) (2016)
Rupesh Gupta, Guanfeng Liang, Hsiao-Ping Tseng, Ravi Kiran Holur Vijay, Xiaoyu Chen, Rómer Rosales
Email Volume Optimization at LinkedIn. KDD (2016)
Sicheng Xiong, Yuanli Pei, Rómer Rosales, Xiaoli Z. Fern
Active Learning from Relative Comparisons. IEEE Trans. Knowl. Data Eng. 27 (12) (2015)
Yuanli Pei, Xiaoli Z. Fern, Rómer Rosales, Teresa Vania Tjahja
Discriminative Clustering with Relative Constraints. CoRR (2015)
Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
Active learning from uncertain crowd annotations. Allerton (2014)
Yan Yan, Rómer Rosales, Glenn Fung, Subramanian Ramanathan, Jennifer G. Dy
Learning from multiple annotators with varying expertise. Mach. Learn. 95 (3) (2014)
Olivier Chapelle, Eren Manavoglu, Rómer Rosales
Simple and Scalable Response Prediction for Display Advertising. ACM Trans. Intell. Syst. Technol. 5 (4) (2014)
Sicheng Xiong, Rómer Rosales, Yuanli Pei, Xiaoli Z. Fern
Active Metric Learning from Relative Comparisons. CoRR (2014)
Liang Tang, Rómer Rosales, Ajit Singh, Deepak Agarwal
Automatic ad format selection via contextual bandits. CIKM (2013)
Rómer Rosales, Brendan J. Frey
Learning Generative Models of Similarity Matrices CoRR (2012)
Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy
Active Learning from Multiple Knowledge Sources. AISTATS (2012)
Rómer Rosales, Haibin Cheng, Eren Manavoglu
Post-click conversion modeling and analysis for non-guaranteed delivery display advertising. WSDM (2012)
Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario CoRR (2012)
Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
Active Learning from Crowds. ICML (2011)
Faisal Farooq, Balaji Krishnapuram, Rómer Rosales, Shipeng Yu, Jude W. Shavlik, Raju Kucherlapati
Predictive Models in Personalized Medicine: Neural Information Processing Systems (NIPS), 2010 workshop report. SIGHIT Rec. 1 (1) (2011)
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao
Bayesian Co-Training. J. Mach. Learn. Res. 12 (2011)
Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. UAI (2010)
Rómer Rosales, R. Bharat Rao
Guest Editorial: Special Issue on impacting patient care by mining medical data. Data Min. Knowl. Discov. 20 (3) (2010)
Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales
Medical coding classification by leveraging inter-code relationships. KDD (2010)
Yan Yan, Rómer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy
Modeling annotator expertise: Learning when everybody knows a bit of something. AISTATS (2010)
Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy
Multi-Class Classifiers and their Underlying Shared Structure. IJCAI (2009)
Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer
Data-Efficient Information-Theoretic Test Selection. AIME (2009)
Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer
Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis. IDA (2009)
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao
Active Sensing. AISTATS (2009)
Mark Schmidt, Kevin P. Murphy, Glenn Fung, Rómer Rosales
Structure learning in random fields for heart motion abnormality detection. CVPR (2008)
Shipeng Yu, Glenn Fung, Rómer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin
Privacy-preserving cox regression for survival analysis. KDD (2008)
Mark Schmidt, Glenn Fung, Rómer Rosales
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches. ECML (2007)
Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran
Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks. IJCAI (2007)
Rómer Rosales, Praveen Krishnamurthy, R. Bharat Rao
Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text. ICMLA (2007)
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao
Bayesian Co-Training. NIPS (2007)
Glenn Fung, Rómer Rosales, R. Bharat Rao
Feature Selection and Kernel Design via Linear Programming. IJCAI (2007)
Rómer Rosales, Stan Sclaroff
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation. Int. J. Comput. Vis. 67 (3) (2006)
Rómer Rosales, Glenn Fung
Learning sparse metrics via linear programming. KDD (2006)
Glenn Fung, Rómer Rosales, Balaji Krishnapuram
Learning Rankings via Convex Hull Separation. NIPS (2005)
Rómer Rosales, Tommi S. Jaakkola
Focused Inference. AISTATS (2005)
Rómer Rosales, Kannan Achan, Brendan J. Frey
Learning to cluster using local neighborhood structure. ICML (2004)
Rómer Rosales, Kannan Achan, Brendan J. Frey
Unsupervised Image Translation. ICCV (2003)
Rómer Rosales, Stan Sclaroff
A framework for heading-guided recognition of human activity. Comput. Vis. Image Underst. 91 (3) (2003)
Rómer Rosales, Brendan J. Frey
Learning Generative Models of Similarity Matrices. UAI (2003)
Rómer Rosales, Stan Sclaroff
Algorithms for Inference in Specialized Maps for Recovering 3D Hand Pose. FGR (2002)
Rómer Rosales, Vassilis Athitsos, Leonid Sigal, Stan Sclaroff
3D Hand Pose Reconstruction Using Specialized Mappings. ICCV (2001)
Rómer Rosales, Stan Sclaroff
Learning Body Pose via Specialized Maps. NIPS (2001)
Rómer Rosales, Matheen Siddiqui, Jonathan Alon, Stan Sclaroff
Estimating 3D Body Pose using Uncalibrated Cameras. CVPR (1) (2001)
Stan Sclaroff, George Kollios, Margrit Betke, Rómer Rosales
Motion Mining. MDIC (2001)
Rómer Rosales, Stan Sclaroff
Specialized Mappings and the Estimation of Human Body Pose from a Single Image. Workshop on Human Motion (2000)
Rómer Rosales, Stan Sclaroff
Inferring Body Pose without Tracking Body Parts. CVPR (2000)
Rómer Rosales, Stan Sclaroff
Learning and Synthesizing Human Body Motion and Posture. FG (2000)
Rómer Rosales, Stan Sclaroff
3D Trajectory Recovery for Tracking Multiple Objects and Trajectory Guided Recognition of Actions. CVPR (1999)