Efficient Feature Selection in the Presence of Multiple Feature Classes. - Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (ICDM, 2008)

Transfer Learning, Feature Selection and Word Sense Disambiguation. - Paramveer S. Dhillon; Lyle H. Ungar (ACL/IJCNLP (2), 2009)

Robust Real-Time Face Tracking Using an Active Camera. - Paramveer S. Dhillon (CISIS, 2009)

Combining appearance and motion for human action classification in videos. - Paramveer S. Dhillon; Sebastian Nowozin; Christoph H. Lampert (CVPR Workshops, 2009)

Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC). - Paramveer S. Dhillon; Brian Tomasik; Dean P. Foster; Lyle H. Ungar (ECML/PKDD (1), 2009)

Transfer Learning Using Feature Selection - Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (CoRR, 2009)

Learning Better Data Representation Using Inference-Driven Metric Learning. - Paramveer S. Dhillon; Partha Pratim Talukdar; Koby Crammer (ACL (2), 2010)

A New Approach to Lexical Disambiguation of Arabic Text. - Rushin Shah; Paramveer S. Dhillon; Mark Y. Liberman; Dean P. Foster; Mohamed Maamouri; Lyle H. Ungar (EMNLP, 2010)

Feature Selection using Multiple Streams. - Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (AISTATS, 2010)

Semi-supervised multi-task learning of structured prediction models for web information extraction. - Paramveer S. Dhillon; Sundararajan Sellamanickam; Sathiya Keerthi Selvaraj (CIKM, 2011)

Multi-View Learning of Word Embeddings via CCA. - Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (NIPS, 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)

Metric Learning for Graph-Based Domain Adaptation. - Paramveer S. Dhillon; Partha Pratim Talukdar; Koby Crammer (COLING (Posters), 2012)

Spectral Dependency Parsing with Latent Variables. - Paramveer S. Dhillon; Jordan Rodu; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (EMNLP-CoNLL, 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 (ICML, 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 (ISBI, 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 (MICCAI (3), 2012)

Deterministic Annealing for Semi-Supervised Structured Output Learning. - Paramveer S. Dhillon; S. Sathiya Keerthi; Kedar Bellare; Olivier Chapelle; Sundararajan Sellamanickam (AISTATS, 2012)

New Subsampling Algorithms for Fast Least Squares Regression. - Paramveer S. Dhillon; Yichao Lu; Dean P. Foster; Lyle H. Ungar (NIPS, 2013)

Faster Ridge Regression via the Subsampled Randomized Hadamard Transform. - Yichao Lu; Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (NIPS, 2013)

Anatomically-Constrained PCA for Image Parcellation. - Paramveer S. Dhillon; James C. Gee; Lyle H. Ungar; Brian B. Avants (PRNI, 2013)

Learning to explore scientific workflow repositories. - Julia Stoyanovich; Paramveer S. Dhillon; Susan B. Davidson; Brian Lyons (SSDBM, 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)

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)

Eigenwords: spectral word embeddings. - Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (J. Mach. Learn. Res., 2015)

Comparing Ebook Student Interactions With Test Scores: A Case Study Using CSAwesome (Work in Progress). - Hisamitsu Maeda; Barbara Ericson; Paramveer S. Dhillon (EDM (Workshops), 2021)

Digital Paywall Design: Implications for Content Demand and Subscriptions. - Sinan Aral; Paramveer S. Dhillon (Manag. Sci., 2021)

Modeling Dynamic User Interests: A Neural Matrix Factorization Approach. - Paramveer S. Dhillon; Sinan Aral (Mark. Sci., 2021)

Judging a Book by Its Cover: Predicting the Marginal Impact of Title on Reddit Post Popularity. - Evan Weissburg; Arya Kumar; Paramveer S. Dhillon (ICWSM, 2022)

Detecting Struggling Students from Interactive Ebook Data: A Case Study Using CSAwesome. - Barbara J. Ericson; Hisamitsu Maeda; Paramveer S. Dhillon (SIGCSE (1), 2022)

Unpacking Gender Stereotypes in Film Dialogue. - Yulin Yu; Yucong Hao; Paramveer Dhillon (SocInfo, 2022)

Deconstructing the structure of online conversations on Reddit. - Yulin Yu; Paramveer Dhillon (CoRR, 2022)

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 (ICWSM, 2023)

Ranking & Reweighting Improves Group Distributional Robustness. - Yachuan Liu; Bohan Zhang; Qiaozhu Mei; Paramveer Dhillon (CoRR, 2023)

What (Exactly) Is Novelty in Networks? Unpacking the Vision Advantages of Brokers, Bridges, and Weak Ties. - Sinan Aral; Paramveer S. Dhillon (Manag. Sci., 2023)

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 (CHI, 2024)

Causal Inference for Human-Language Model Collaboration. - Bohan Zhang; Yixin Wang; Paramveer Dhillon (NAACL-HLT, 2024)

Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns. - Md Sanzeed Anwar; Grant Schoenebeck; Paramveer S. Dhillon (WWW, 2024)

PM2.5 forecasting under distribution shift: A graph learning approach. - Yachuan Liu; Jiaqi Ma 001; Paramveer Dhillon; Qiaozhu Mei (AI Open, 2024)

Recommendation and Temptation. - Md Sanzeed Anwar; Paramveer S. Dhillon; Grant Schoenebeck (CoRR, 2024)

Targeting for Long-Term Outcomes. - Jeremy Yang; Dean Eckles; Paramveer Dhillon; Sinan Aral (Manag. Sci., 2024)

Characterizing the Structure of Online Conversations Across Reddit. - Yulin Yu; Julie Jiang; Paramveer S. Dhillon (Proc. ACM Hum. Comput. Interact., 2024)

Dual Debiasing for Noisy In-Context Learning for Text Generation. - Siqi Liang 001; Sumyeong Ahn; Paramveer Dhillon; Jiayu Zhou (ACL (Findings), 2025)

Leveraging Group-Level Signals for Robust Many-Domain Generalization. - Bohan Zhang; Yachuan Liu; Qiaozhu Mei; Paramveer S. Dhillon (PAKDD (3), 2025)

Policy Learning with a Natural Language Action Space: A Causal Approach. - Bohan Zhang; Yixin Wang; Paramveer S. Dhillon (CoRR, 2025)

ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models. - Yachuan Liu; Xiaochun Wei; Lin Shi; Xinnuo Li; Bohan Zhang; Paramveer Dhillon; Qiaozhu Mei (CoRR, 2025)

Demographic disparity in Wikipedia coverage: a global perspective. - Yulin Yu; Xianglong Li; Tianyi Li; Paramveer S. Dhillon; Daniel M. Romero (EPJ Data Sci., 2025)