Paramveer S. Dhillon

According to our database, Paramveer S. Dhillon authored at least 41 papers between 2008 and 2024.

Collaborative distances:

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

2024

Characterizing the Structure of Online Conversations Across Reddit.

Yulin Yu, Julie Jiang, Paramveer S. Dhillon

Proc. ACM Hum. Comput. Interact., 2024

Targeting for Long-Term Outcomes.

Jeremy Yang, Dean Eckles, Paramveer Dhillon, Sinan Aral

Manag. Sci., 2024

PM2.5 forecasting under distribution shift: A graph learning approach.

Yachuan Liu, Jiaqi Ma, Paramveer Dhillon, Qiaozhu Mei

AI Open, 2024

Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns.

Md Sanzeed Anwar, Grant Schoenebeck, Paramveer S. Dhillon

Proceedings of the ACM on Web Conference 2024, 2024

Causal Inference for Human-Language Model Collaboration.

Bohan Zhang, Yixin Wang, Paramveer Dhillon

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models.

Paramveer S. Dhillon, Somayeh Molaei, Jiaqi Li, Maximilian Golub, Shaochun Zheng, Lionel Peter Robert

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

What (Exactly) Is Novelty in Networks? Unpacking the Vision Advantages of Brokers, Bridges, and Weak Ties.

Sinan Aral, Paramveer S. Dhillon

Manag. Sci., February, 2023

Ranking & Reweighting Improves Group Distributional Robustness.

Yachuan Liu, Bohan Zhang, Qiaozhu Mei, Paramveer Dhillon

CoRR, 2023

Unique in What Sense? Heterogeneous Relationships between Multiple Types of Uniqueness and Popularity in Music.

Yulin Yu, Pui Yin Cheung, Yong-Yeol Ahn, Paramveer S. Dhillon

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

2022

Deconstructing the structure of online conversations on Reddit.

Yulin Yu, Paramveer Dhillon

CoRR, 2022

Unpacking Gender Stereotypes in Film Dialogue.

Yulin Yu, Yucong Hao, Paramveer Dhillon

Proceedings of the Social Informatics - 13th International Conference, 2022

Detecting Struggling Students from Interactive Ebook Data: A Case Study Using CSAwesome.

Barbara J. Ericson, Hisamitsu Maeda, Paramveer S. Dhillon

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Judging a Book by Its Cover: Predicting the Marginal Impact of Title on Reddit Post Popularity.

Evan Weissburg, Arya Kumar, Paramveer S. Dhillon

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021

Modeling Dynamic User Interests: A Neural Matrix Factorization Approach.

Paramveer S. Dhillon, Sinan Aral

Mark. Sci., 2021

Digital Paywall Design: Implications for Content Demand and Subscriptions.

Sinan Aral, Paramveer S. Dhillon

Manag. Sci., 2021

Comparing Ebook Student Interactions With Test Scores: A Case Study Using CSAwesome (Work in Progress).

Hisamitsu Maeda, Barbara Ericson, Paramveer S. Dhillon

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

2015

Eigenwords: spectral word embeddings.

Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar

J. Mach. Learn. Res., 2015

2014

Subject-specific functional parcellation via Prior Based Eigenanatomy.

Paramveer S. Dhillon, David A. Wolk, Sandhitsu R. Das, Lyle H. Ungar, James C. Gee, Brian B. Avants

NeuroImage, 2014

2013

A risk comparison of ordinary least squares vs ridge regression.

Paramveer S. Dhillon, Dean P. Foster, Sham M. Kakade, Lyle H. Ungar

J. Mach. Learn. Res., 2013

Learning to explore scientific workflow repositories.

Julia Stoyanovich, Paramveer S. Dhillon, Susan B. Davidson, Brian Lyons

Proceedings of the Conference on Scientific and Statistical Database Management, 2013

Anatomically-Constrained PCA for Image Parcellation.

Paramveer S. Dhillon, James C. Gee, Lyle H. Ungar, Brian B. Avants

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Faster Ridge Regression via the Subsampled Randomized Hadamard Transform.

Yichao Lu, Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

New Subsampling Algorithms for Fast Least Squares Regression.

Paramveer S. Dhillon, Yichao Lu, Dean P. Foster, Lyle H. Ungar

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Deterministic Annealing for Semi-Supervised Structured Output Learning.

Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam

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

Eigenanatomy Improves Detection Power for Longitudinal Cortical Change.

Brian B. Avants, Paramveer S. Dhillon, Benjamin M. Kandel, Philip A. Cook, Corey McMillan, Murray Grossman, James C. Gee

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Partial sparse canonical correlation analysis (PSCCA) for population studies in medical imaging.

Paramveer S. Dhillon, Brian B. Avants, Lyle H. Ungar, James C. Gee

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Using CCA to improve CCA: A new spectral method for estimating vector models of words.

Paramveer S. Dhillon, Jordan Rodu, Dean P. Foster, Lyle H. Ungar

Proceedings of the 29th International Conference on Machine Learning, 2012

Spectral Dependency Parsing with Latent Variables.

Paramveer S. Dhillon, Jordan Rodu, Michael Collins, Dean P. Foster, Lyle H. Ungar

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Metric Learning for Graph-Based Domain Adaptation.

Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer

Proceedings of the COLING 2012, 2012

2011

Minimum Description Length Penalization for Group and Multi-Task Sparse Learning.

Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar

J. Mach. Learn. Res., 2011

Multi-View Learning of Word Embeddings via CCA.

Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Semi-supervised multi-task learning of structured prediction models for web information extraction.

Paramveer S. Dhillon, Sundararajan Sellamanickam, Sathiya Keerthi Selvaraj

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Feature Selection using Multiple Streams.

Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar

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

A New Approach to Lexical Disambiguation of Arabic Text.

Rushin Shah, Paramveer S. Dhillon, Mark Liberman, Dean P. Foster, Mohamed Maamouri, Lyle H. Ungar

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Learning Better Data Representation Using Inference-Driven Metric Learning.

Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer

Proceedings of the ACL 2010, 2010

2009

Transfer Learning Using Feature Selection

Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar

CoRR, 2009

Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC).

Paramveer S. Dhillon, Brian Tomasik, Dean P. Foster, Lyle H. Ungar

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Combining appearance and motion for human action classification in videos.

Paramveer S. Dhillon, Sebastian Nowozin, Christoph H. Lampert

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

Robust Real-Time Face Tracking Using an Active Camera.

Paramveer S. Dhillon

Proceedings of the Computational Intelligence in Security for Information Systems, 2009

Transfer Learning, Feature Selection and Word Sense Disambiguation.

Paramveer S. Dhillon, Lyle H. Ungar

Proceedings of the ACL 2009, 2009

2008

Efficient Feature Selection in the Presence of Multiple Feature Classes.

Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008