Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Rómer Rosales
A State Transition Model for Mobile Notifications Via Survival Analysis
(pdf pending)
In Proceedings International Conference on Web Search and Data Mining (WSDM), 2019
Yan Gao, Viral Gupta, Jinyun Yan, Changji Shi, Zhongen Tao, PJ Xiao, Curtis Wang, Shipeng Yu, Rómer Rosales, Ajith Muralidharan, Shaunak Chatterjee
Near Real-time Optimization of Activity-based Notifications
(pdf)
In Proceedings International Conference on Knowledge Discovery and Data Mining (KDD), 2018
Rupesh Gupta, Guanfeng Liang, and Rómer Rosales
Optimizing Email Volume For Sitewide Engagement
(pdf)
In Proceedings Conference on Information and Knowledge Management (CIKM), 2017.
Yuanli Pei, Xiaoli Z. Fern, Teresa V. Tjahja, and Rómer Rosales
Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework
(pdf)
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (2) 22, 2016
Rupesh Gupta, Guanfeng Liang, Hsiao-Ping Tseng, Ravi Kiran Holur Vijay, Xiaoyu Chen, and Rómer Rosales
Email Volume Optimization at LinkedIn
(pdf)
In Proceedings International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
Yu Shi, Myunghwan Kim, Shaunak Chatterjee, Mitul Tiwari, Souvik Ghosh, and Rómer Rosales
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay.
(pdf)
In Proceedings Knowledge Discovery and Data Mining (KDD), 2016.
Sicheng Xiong, Rómer Rosales, Yuanli Pei, and Xiaoli Fern
Active Learning from Relative Comparisons.
(pdf)
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015.
Yuanli Pei, Xiaoli Z. Fern, Rómer Rosales, and Teresa V. Tjahja
Discriminative Clustering with Relative Constraints.
(pdf)
CoRR abs/1501.00037, 2014.
Yan Yan, Rómer Rosales, Glenn Fung, Ramanathan Subramanian, and Jennifer Dy
Learning from Multiple Annotators with Varying Expertise
(pdf)
Machine Learning Journal, June 2014, Volume 95, Issue 3, pp 291-327.
NIPS Workshop Information: On-line papers for the NIPS 2013 Workshop on Personalization
Liang Tang, Rómer Rosales, Ajit Singh, and Deepak Agarwal
Automatic Ad Format Selection via Contextual Bandits
(pdf)
In Proc. Conference on Information and Knowledge Management (CIKM) 2013.
Olivier Chapelle, Eren Manavoglu, and Rómer Rosales
Simple and Scalable Response Prediction for Display Advertising
(pdf)
ACM Transactions on Intelligent Systems and Technology (TIST) 2013.
Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, and Jennifer Dy
Active Learning from Multiple Knowledge Sources
(pdf)
In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS) 2012.
Rómer Rosales, Haibin Cheng, and Eren Manavoglu
Post-Click Conversion Modeling and Analysis for NGD Display Advertising
(pdf)
In Proc. International Conference on Web Search and Data Mining (WSDM) 2012.
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, and R. Bharat Rao
Bayesian Co-Training
(pdf)
Journal of Machine Learning Research (JMLR), Volume 12. p. 2649--2680, 2011.
Rómer Rosales and Olivier Chapelle
Attribute Selection by Measuring Information on Reference Distributions
(pdf)
Tech Pulse Conference, Yahoo! 2011.
Yan Yan, Rómer Rosales, Glenn Fung, and Jennifer Dy
Active Learning from Crowds
(pdf)
In Proc. International Conference on Machine Learning (ICML) 2011.
Faisal Farooq, Glenn Fung, Rómer Rosales, Balaji Krishnapuram, Shipeng Yu, Jude Shavlik, and Raju Kucherlapati
On-line Proceedings of the NIPS Workshop on Predictive Models in Personalized Medicine
Neural Information Processing Systems Workshops 2010.
Rómer Rosales, Faisal Farooq, Balaji Krishnapuram, Shipeng Yu, and Glenn Fung
Automated Identification of Medical Concepts and Assertions in Medical Text (pdf)
In Proc. American Medical Informatics Association Conference (AMIA) 2010.
Yan Yan, Rómer Rosales, Glenn Fung, and Jennifer Dy
Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario (pdf)
In Proc. Conference on Uncertainty in Artificial Intelligence (UAI) 2010.
Yan Yan, Glenn Fung, Jennifer Dy, and Rómer Rosales
Medical Coding Classification by Leveraging Inter-Code Relationships (pdf)
In Proc. Conference on Knowledge Discovery and Data Mining (KDD) 2010.
Rómer Rosales and R. Bharat Rao (Editors)
Special Issue on Mining Medical Data
Journal of Data Mining and Knowledge Discovery (Springer) 2010.
Yan Yan, Rómer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo, Luca Bogoni, Linda Moy, and Jennifer Dy
Modeling Annotator Expertise: Learning when Everybody Knows a Bit of Something (pdf)
In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS) 2010.
Mark Schmidt, Glenn Fung, and Rómer Rosales
Optimization Methods for L1 Regularization(pdf)
University of British Columbia Technical Report, 2009.
Volkan Vural, Glenn Fung, Rómer Rosales, and Jennifer Dy.
Multi-Class Classifiers and Their Underlying Shared Structure (pdf)
In Proc. International Joint Conference on Artificial Intelligence (IJCAI) 2009.
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, and R. Bharat Rao.
Active Sensing (pdf)
In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS) 2009.
Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, and Stefan Kramer
Subgroup Discovery for Test Selection: A Novel Approach and its Application to Breast Cancer Diagnosis (pdf)
In Proc. Intelligent Data Analysis (IDA) 2009.
Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, and Stefan Kramer
Data-Efficient Information-Theoretic Test Selection (pdf)
In Proc. Conference on Artificial Intelligence in Medicine (AIME) 2009.
Wei Tong, Rómer Rosales, and Glenn Fung
Automatic Discrimination of Mislabeled Training Points for Large Margin Classifiers (pdf)
In Proc. (Snowbird) Machine Learning Workshop 2009.
Shipeng Yu, Glenn Fung, Rómer Rosales
and R. Bharat Rao.
Privacy-Preserving Cox Regression for Medical
Survival Analysis (pdf)
In Proc. Knowledge Discovery and Data
Mining (KDD) 2008.
Mark Schmidt, Kevin Murphy, Glenn
Fung, and Rómer Rosales
Discriminative
Structure Learning in Random Fields and an Application for Heart Motion
Abnormality Detection (pdf)
In Proc. Computer Vision and
Pattern Recognition (CVPR) 2008.
R. Bharat Rao, Glenn Fung, and Rómer
Rosales
On the Dangers of
Cross-Validation. An Experimental Evaluation (pdf)
In Proc. SIAM Data Mining (SDM)
2008.
Shipeng Yu, Balaji Krishnapuram, Rómer
Rosales, Harald Steck, and R. Bharat Rao
Bayesian
Co-Training (pdf)
In Proc. Neural Information Processing
Systems (NIPS) 2007.
Rómer Rosales, Praveen Krishnamurthy,
and R. Bharat Rao
Semi-supervised Active
Learning for Modeling Medical Concepts from Free Text (pdf)
In Proc. International Conference on
Machine Learning Applications (ICMLA) 2007.
Mark Schmidt, Glenn Fung, and Rómer
Rosales
Fast Optimization
Methods for L1 Regularization: A Comparative Study and Two New
Approaches (pdf, slides)
In Proc. European Conference on Machine
Learning (ECML) 2007.
Glenn Fung, Rómer Rosales, and R.
Bharat Rao
Feature Selection and
Kernel Design via Linear Programming (pdf)
In Proc. International Joint Conference on
Artificial Intelligence (IJCAI) 2007.
Maleeha Qazi, Glenn Fung, Sriram Krishnan,
Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans,
and Dhanalakshmi Chandrasekaran
Automated HeartWall
Motion Abnormality Detection From Ultrasound Images using Bayesian
Networks (pdf)
Distinguished
Paper Award
In Proc. International Joint Conference on
Artificial Intelligence (IJCAI) 2007.
Rómer Rosales and Glenn Fung
Learning 'Sparse'
Metrics via Linear Programming (pdf)
In Proc. Knowledge Discovery and Data Mining (KDD)
2006.
Rómer Rosales and Stan Sclaroff
Combining generative
and discriminative models in a framework for articulated pose
estimation (pdf)
International Journal of Computer Vision (IJCV)
Volume 67 (3) p. 251-276, 2006
Example
applications
Glenn Fung, Rómer Rosales, and Balaji
Krishnapuram
Learning Rankings via
Convex Hull Separation (pdf)
In Proc. Neural Information Processing Systems
(NIPS) 2005.
Rómer Rosales and Tommi Jaakkola
Focused Inference (pdf|ps|slides)
In Artificial Intelligence and Statistics
(AISTATS). Jan 2005.
Rómer Rosales, Kannan Achan, and Brendan
Frey
Learning to Cluster
using Local Neighborhood Structure (pdf|ps|slides)
In Proc. International Conference on Machine
Learning (ICML). Jul 2004.
Rómer Rosales, Kannan Achan, and Brendan
Frey
Unsupervised Image
Translation (pdf|ps)
In Proc. International Conference on Computer
Vision (ICCV). Oct 2003.
Example
translations
Rómer
Rosales and Brendan Frey
Learning Generative
Models of Affinity Matrices (pdf|ps)
In Proc. 19th Conference on Uncertainty in
Artificial Intelligence (UAI). Aug 2003.
Rómer Rosales, Kannan Achan, and Brendan
Frey
Translating Images by
Unsupervised Estimation of Switching Filters (pdf|ps)
In Proc. IEEE Workshop on Statistical Signal
Processing (SSP) (invited paper).
Sep 2003.
Rómer Rosales and Stan Sclaroff
A Framework for Heading-Guided
Recognition of Human Activity (pdf| ps)
Computer Vision and Image Understanding Journal
(CVIU) 2003.
Rómer Rosales and Stan Sclaroff
Algorithms for
Interence in the SMA
In Proc. 5th IEEE
International Conference on Automatic Face and Gesture Recognition
(FG2002). Presented in FG2002, Washington, DC, May 2002. .
Rómer Rosales
The Specialized Mappings Architecture with Applications
to Vision-Based Estimation of Articulated Body Pose (pdf|ps|Abstract)
Ph.D. Thesis. Jan 2002.
Rómer Rosales and Stan Sclaroff
Learning Body Pose Via Specialized Maps (pdf)
In Proc. Neural Information Processing Systems
NIPS-14, 2002. Presented at NIPS, Vancouver, BC, Dec 2001.
Stan Sclaroff, George
Kollios, Margrit Betke, and Rómer Rosales
Motion
Mining
Lecture Notes in Computer Science; Vol 2184. Proc.
2nd International Workshop on Multimedia Databases and Image
Communication, 2001
Rómer Rosales, Matheen Siddiqui, Joni
Alon, and Stan Sclaroff
3D
Body Pose Using Uncalibrated Cameras (ps.gz)
In Proc. IEEE Computer Vision and Pattern
Recognition (CVPR). Presented at CVPR, Kauai, Hawaii, Dec 2001.
Rómer Rosales, Vassilis Athitsos, and
Stan Sclaroff
3D
Hand Pose Reconstruction Using Specialized Mappings (pdf)
In Proc. IEEE International Conference on Computer
Vision (ICCV). Presented at ICCV, Vancouver, BC, Canada, Jul 2001.
Rómer Rosales and Stan Sclaroff
Specialized
Mappings and the Estimation of Human Body Pose from a Single Image (ps)
In Proc. IEEE Workshop on Human Motion (HUMO).
Presented at HUMO, Austin, TX, Dec 2000.
Rómer Rosales and Stan Sclaroff
Inferring
Body Pose Without Tracking Body Parts (ps.Z)
In Proc. IEEE Computer Vision and Pattern
Recogniton (CVPR). Presented at CVPR, Hilton Head Island, SC, Jun 2000.
Rómer Rosales and Stan Sclaroff
Learning
and Synthesizing Human Body Pose and Motion
In Proc. 4th IEEE
International Conference on Automatic Face and Gesture Recognition
(FG2000). Presented at FG200, Grenoble, France, 2000.
Rómer Rosales and Stan Sclaroff
Trajectory
Guided Recognition
In
Proc. SPIE 99. Presented at SPIE, Boston, MA, 1999.
Rómer Rosales and Stan Sclaroff
3D
Trajectory Recovery for Tracking Multiple Objects and Trajectory Guided
Recognition of Actios (ps.Z)
In
Proc. IEEE Computer Vision and Pattern Recognition (CVPR). Presented at
CVPR, Fort Collins, CO, 1999
Rómer Rosales
Recognition of Human Action Using
Moment-Based Features (ps.Z)
Boston University Computer Science Technical Report
BU 1998-020, Boston, MA, 1998.
Rómer Rosales and Stan Sclaroff
Improved
Tracking of Multiple Humans with Trajectory Prediction and Occlusion
Modeling (ps.Z)
In Proceedings IEEE CVPR Workshop on the
Interpretation of Visual Motion. Presented at CVPR,
Santa Barbara, CA, 1998
