Jaya Kawale

According to our database, Jaya Kawale authored at least 19 papers between 2009 and 2023.

Collaborative distances:

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

2023

Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata.

Saurabh Agrawal, John Trenkle, Jaya Kawale

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2017

Recommendation under Capacity Constraints.

Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee

CoRR, 2017

Recommendation with Capacity Constraints.

Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee

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

2016

Practical Linear Models for Large-Scale One-Class Collaborative Filtering.

Suvash Sedhain, Hung Bui, Jaya Kawale, Nikos Vlassis, Branislav Kveton, Aditya Krishna Menon, Trung Bui, Scott Sanner

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns.

Sheng Li, Nikos Vlassis, Jaya Kawale, Yun Fu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization.

Sheng Li, Jaya Kawale, Yun Fu

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Efficient Thompson Sampling for Online Matrix-Factorization Recommendation.

Jaya Kawale, Hung Hai Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Collaborative Filtering via Marginalized Denoising Auto-encoder.

Sheng Li, Jaya Kawale, Yun Fu

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2013

A graph-based approach to find teleconnections in climate data.

Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Peter K. Snyder, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi

Stat. Anal. Data Min., 2013

Constrained Spectral Clustering using L1 Regularization.

Jaya Kawale, Daniel Boley

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Earth Science Applications of Sensor Data.

Anuj Karpatne, James H. Faghmous, Jaya Kawale, Luke Styles, Mace Blank, Varun Mithal, Xi C. Chen, Ankush Khandelwal, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar, Stefan Liess

Proceedings of the Managing and Mining Sensor Data, 2013

2012

Tracking Spatio-Temporal Diffusion in Climate Data.

Jaya Kawale, Aditya Pal, Rob Fatland

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Testing the significance of spatio-temporal teleconnection patterns.

Jaya Kawale, Snigdhansu Chatterjee, Dominick Ormsby, Karsten Steinhaeuser, Stefan Liess, Vipin Kumar

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Mining time-lagged relationships in spatio-temporal climate data.

Jaya Kawale, Stefan Liess, Vipin Kumar, Upmanu Lall, Auroop R. Ganguly

Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

2011

Discovering Dynamic Dipoles in Climate Data.

Jaya Kawale, Michael S. Steinbach, Vipin Kumar

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Connecting Mutually Influencing Bloggers.

Aditya Pal, Jaya Kawale

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Data Guided Discovery of Dynamic Climate Dipoles.

Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

Anomaly Construction in Climate Data: Issues and Challenges.

Jaya Kawale, Snigdhansu Chatterjee, Arjun Kumar, Stefan Liess, Michael S. Steinbach, Vipin Kumar

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

2009

Churn Prediction in MMORPGs: A Social Influence Based Approach.

Jaya Kawale, Aditya Pal, Jaideep Srivastava

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009