Rómer Rosales

58 papers A* 19A 10B 3C 1Journal 16Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations.
WWW
Ruining He, Lukasz Heldt, Lichan Hong, Raghunandan H. Keshavan, Shifan Mao, Nikhil Mehta, Zhengyang Su, Alicia Tsai, Yueqi Wang, Shao-Chuan Wang, Xinyang Yi, Lexi Baugher, Baykal Cakici, Ed H. Chi, Cristos Goodrow, Ningren Han, He Ma, Rómer Rosales, Abby Van Soest, Devansh Tandon, Su-Lin Wu, Weilong Yang, Yilin Zheng
2025 J jnl
PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations.
CoRR
Ruining He, Lukasz Heldt, Lichan Hong, Raghunandan H. Keshavan, Shifan Mao, Nikhil Mehta, Zhengyang Su, Alicia Tsai, Yueqi Wang, Shao-Chuan Wang, Xinyang Yi, Lexi Baugher, Baykal Cakici, Ed H. Chi, Cristos Goodrow, Ningren Han, He Ma, Rómer Rosales, Abby Van Soest, Devansh Tandon, Su-Lin Wu, Weilong Yang, Yilin Zheng
2022 J jnl
A State Transition Model for Mobile Notifications via Survival Analysis.
CoRR
Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Rómer Rosales
2019 A conf
A State Transition Model for Mobile Notifications via Survival Analysis.
WSDM
Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Rómer Rosales
2019 A* ed.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019.
KDD
Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis
2019 A* conf
Product Ecosystem Optimization at LinkedIn.
KDD
Rómer Rosales
2018 A* conf
Near Real-time Optimization of Activity-based Notifications.
KDD
Yan Gao, Viral Gupta, Jinyun Yan, Changji Shi, Zhongen Tao, P. J. Xiao, Curtis Wang, Shipeng Yu, Rómer Rosales, Ajith Muralidharan, Shaunak Chatterjee
2017 A conf
Optimizing Email Volume For Sitewide Engagement.
CIKM
Rupesh Gupta, Guanfeng Liang, Rómer Rosales
2016 J jnl
Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework.
ACM Trans. Knowl. Discov. Data
Yuanli Pei, Xiaoli Z. Fern, Teresa Vania Tjahja, Rómer Rosales
2016 A* conf
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay.
KDD
Yu Shi, Myunghwan Kim, Shaunak Chatterjee, Mitul Tiwari, Souvik Ghosh, Rómer Rosales
2016 A* conf
Email Volume Optimization at LinkedIn.
KDD
Rupesh Gupta, Guanfeng Liang, Hsiao-Ping Tseng, Ravi Kiran Holur Vijay, Xiaoyu Chen, Rómer Rosales
2016 J jnl
Evaluating Crowdsourcing Participants in the Absence of Ground-Truth.
CoRR
Ramanathan Subramanian, Rómer Rosales, Glenn Fung, Jennifer G. Dy
2015 J jnl
Active Learning from Relative Comparisons.
IEEE Trans. Knowl. Data Eng.
Sicheng Xiong, Yuanli Pei, Rómer Rosales, Xiaoli Z. Fern
2015 J jnl
Discriminative Clustering with Relative Constraints.
CoRR
Yuanli Pei, Xiaoli Z. Fern, Rómer Rosales, Teresa Vania Tjahja
2014 J jnl
Active Metric Learning from Relative Comparisons.
CoRR
Sicheng Xiong, Rómer Rosales, Yuanli Pei, Xiaoli Z. Fern
2014 — conf
Active learning from uncertain crowd annotations.
Allerton
Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
2014 J jnl
Learning from multiple annotators with varying expertise.
Mach. Learn.
Yan Yan, Rómer Rosales, Glenn Fung, Subramanian Ramanathan, Jennifer G. Dy
2014 J jnl
Simple and Scalable Response Prediction for Display Advertising.
ACM Trans. Intell. Syst. Technol.
Olivier Chapelle, Eren Manavoglu, Rómer Rosales
2013 A conf
Automatic ad format selection via contextual bandits.
CIKM
Liang Tang, Rómer Rosales, Ajit Singh, Deepak Agarwal
2012 A conf
Active Learning from Multiple Knowledge Sources.
AISTATS
Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy
2012 J jnl
Learning Generative Models of Similarity Matrices
CoRR
Rómer Rosales, Brendan J. Frey
2012 J jnl
Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario
CoRR
Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
2012 A conf
Post-click conversion modeling and analysis for non-guaranteed delivery display advertising.
WSDM
Rómer Rosales, Haibin Cheng, Eren Manavoglu
2011 A* conf
Active Learning from Crowds.
ICML
Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
2011 J jnl
Bayesian Co-Training.
J. Mach. Learn. Res.
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao
2011 J jnl
Predictive Models in Personalized Medicine: Neural Information Processing Systems (NIPS), 2010 workshop report.
SIGHIT Rec.
Faisal Farooq, Balaji Krishnapuram, Rómer Rosales, Shipeng Yu, Jude W. Shavlik, Raju Kucherlapati
2010 J jnl
Guest Editorial: Special Issue on impacting patient care by mining medical data.
Data Min. Knowl. Discov.
Rómer Rosales, R. Bharat Rao
2010 A* conf
Medical coding classification by leveraging inter-code relationships.
KDD
Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales
2010 A conf
Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario.
UAI
Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy
2010 A conf
Modeling annotator expertise: Learning when everybody knows a bit of something.
AISTATS
Yan Yan, Rómer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy
2009 A conf
Active Sensing.
AISTATS
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao
2009 B conf
Data-Efficient Information-Theoretic Test Selection.
AIME
Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer
2009 A* conf
Multi-Class Classifiers and their Underlying Shared Structure.
IJCAI
Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy
2009 B conf
Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis.
IDA
Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer
2008 A* conf
Privacy-preserving cox regression for survival analysis.
KDD
Shipeng Yu, Glenn Fung, Rómer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin
2008 A* conf
Structure learning in random fields for heart motion abnormality detection.
CVPR
Mark Schmidt, Kevin P. Murphy, Glenn Fung, Rómer Rosales
2007 A* conf
Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks.
IJCAI
Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran
2007 — conf
Bayesian Co-Training.
NIPS
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao
2007 — conf
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches.
ECML
Mark Schmidt, Glenn Fung, Rómer Rosales
2007 A* conf
Feature Selection and Kernel Design via Linear Programming.
IJCAI
Glenn Fung, Rómer Rosales, R. Bharat Rao
2007 C conf
Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text.
ICMLA
Rómer Rosales, Praveen Krishnamurthy, R. Bharat Rao
2006 J jnl
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation.
Int. J. Comput. Vis.
Rómer Rosales, Stan Sclaroff
2006 A* conf
Learning sparse metrics via linear programming.
KDD
Rómer Rosales, Glenn Fung
2005 A conf
Focused Inference.
AISTATS
Rómer Rosales, Tommi S. Jaakkola
2005 — conf
Learning Rankings via Convex Hull Separation.
NIPS
Glenn Fung, Rómer Rosales, Balaji Krishnapuram
2004 A* conf
Learning to cluster using local neighborhood structure.
ICML
Rómer Rosales, Kannan Achan, Brendan J. Frey
2003 J jnl
A framework for heading-guided recognition of human activity.
Comput. Vis. Image Underst.
Rómer Rosales, Stan Sclaroff
2003 A conf
Learning Generative Models of Similarity Matrices.
UAI
Rómer Rosales, Brendan J. Frey
2003 A* conf
Unsupervised Image Translation.
ICCV
Rómer Rosales, Kannan Achan, Brendan J. Frey
2002 — conf
Algorithms for Inference in Specialized Maps for Recovering 3D Hand Pose.
FGR
Rómer Rosales, Stan Sclaroff
2001 A* conf
3D Hand Pose Reconstruction Using Specialized Mappings.
ICCV
Rómer Rosales, Vassilis Athitsos, Leonid Sigal, Stan Sclaroff
2001 — conf
Estimating 3D Body Pose using Uncalibrated Cameras.
CVPR (1)
Rómer Rosales, Matheen Siddiqui, Jonathan Alon, Stan Sclaroff
2001 — conf
Learning Body Pose via Specialized Maps.
NIPS
Rómer Rosales, Stan Sclaroff
2001 — conf
Motion Mining.
MDIC
Stan Sclaroff, George Kollios, Margrit Betke, Rómer Rosales
2000 A* conf
Inferring Body Pose without Tracking Body Parts.
CVPR
Rómer Rosales, Stan Sclaroff
2000 B conf
Learning and Synthesizing Human Body Motion and Posture.
FG
Rómer Rosales, Stan Sclaroff
2000 — conf
Specialized Mappings and the Estimation of Human Body Pose from a Single Image.
Workshop on Human Motion
Rómer Rosales, Stan Sclaroff
1999 A* conf
3D Trajectory Recovery for Tracking Multiple Objects and Trajectory Guided Recognition of Actions.
CVPR
Rómer Rosales, Stan Sclaroff