Paramveer S. Dhillon

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 15

Top Topics

Item Recommendation

Causal Inference

Top Venues

EDM (Workshops)

Publications

Md Sanzeed Anwar, Grant Schoenebeck, Paramveer S. Dhillon
Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns. CoRR (2024)
Bohan Zhang, Yixin Wang, Paramveer S. Dhillon
Causal Inference for Human-Language Model Collaboration. CoRR (2024)
Md Sanzeed Anwar, Grant Schoenebeck, Paramveer S. Dhillon
Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns. WWW (2024)
Paramveer S. Dhillon, Somayeh Molaei, Jiaqi Li, Maximilian Golub, Shaochun Zheng, Lionel P. Robert
Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models. CoRR (2024)
Paramveer S. Dhillon, Somayeh Molaei, Jiaqi Li, Maximilian Golub, Shaochun Zheng, Lionel Peter Robert
Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models. CHI (2024)
Yulin Yu, Pui Yin Cheung, Yong-Yeol Ahn, Paramveer S. Dhillon
Unique in What Sense? Heterogeneous Relationships between Multiple Types of Uniqueness and Popularity in Music. ICWSM (2023)
Sinan Aral, Paramveer S. Dhillon
What (Exactly) Is Novelty in Networks? Unpacking the Vision Advantages of Brokers, Bridges, and Weak Ties. Manag. Sci. 69 (2) (2023)
Evan Weissburg, Arya Kumar, Paramveer S. Dhillon
Judging a Book by Its Cover: Predicting the Marginal Impact of Title on Reddit Post Popularity. ICWSM (2022)
Barbara J. Ericson, Hisamitsu Maeda, Paramveer S. Dhillon
Detecting Struggling Students from Interactive Ebook Data: A Case Study Using CSAwesome. SIGCSE (1) (2022)
Paramveer S. Dhillon, Sinan Aral
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach. Mark. Sci. 40 (6) (2021)
Sinan Aral, Paramveer S. Dhillon
Digital Paywall Design: Implications for Content Demand and Subscriptions. Manag. Sci. 67 (4) (2021)
Hisamitsu Maeda, Barbara Ericson, Paramveer S. Dhillon
Comparing Ebook Student Interactions With Test Scores: A Case Study Using CSAwesome (Work in Progress). EDM (Workshops) (2021)
Paramveer S. Dhillon, Sinan Aral
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach. CoRR (2021)
Jeremy Yang, Dean Eckles, Paramveer S. Dhillon, Sinan Aral
Targeting for long-term outcomes. CoRR (2020)
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
Eigenwords: spectral word embeddings. J. Mach. Learn. Res. 16 (2015)
Paramveer S. Dhillon, David A. Wolk, Sandhitsu R. Das, Lyle H. Ungar, James C. Gee, Brian B. Avants
Subject-specific functional parcellation via Prior Based Eigenanatomy. NeuroImage 99 (2014)
Yichao Lu, Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform. NIPS (2013)
Paramveer S. Dhillon, James C. Gee, Lyle H. Ungar, Brian B. Avants
Anatomically-Constrained PCA for Image Parcellation. PRNI (2013)
Paramveer S. Dhillon, Dean P. Foster, Sham M. Kakade, Lyle H. Ungar
A risk comparison of ordinary least squares vs ridge regression. J. Mach. Learn. Res. 14 (1) (2013)
Paramveer S. Dhillon, Yichao Lu, Dean P. Foster, Lyle H. Ungar
New Subsampling Algorithms for Fast Least Squares Regression. NIPS (2013)
Julia Stoyanovich, Paramveer S. Dhillon, Susan B. Davidson, Brian Lyons
Learning to explore scientific workflow repositories. SSDBM (2013)
Paramveer S. Dhillon, Brian B. Avants, Lyle H. Ungar, James C. Gee
Partial sparse canonical correlation analysis (PSCCA) for population studies in medical imaging. ISBI (2012)
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer
Metric Learning for Graph-Based Domain Adaptation. COLING (Posters) (2012)
Paramveer S. Dhillon, Jordan Rodu, Dean P. Foster, Lyle H. Ungar
Using CCA to improve CCA: A new spectral method for estimating vector models of words. ICML (2012)
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam
Deterministic Annealing for Semi-Supervised Structured Output Learning. AISTATS (2012)
Brian B. Avants, Paramveer S. Dhillon, Benjamin M. Kandel, Philip A. Cook, Corey McMillan, Murray Grossman, James C. Gee
Eigenanatomy Improves Detection Power for Longitudinal Cortical Change. MICCAI (3) (2012)
Paramveer S. Dhillon, Jordan Rodu, Michael Collins, Dean P. Foster, Lyle H. Ungar
Spectral Dependency Parsing with Latent Variables. EMNLP-CoNLL (2012)
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
Multi-View Learning of Word Embeddings via CCA. NIPS (2011)
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning. J. Mach. Learn. Res. 12 (2011)
Paramveer S. Dhillon, Sundararajan Sellamanickam, Sathiya Keerthi Selvaraj
Semi-supervised multi-task learning of structured prediction models for web information extraction. CIKM (2011)
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer
Learning Better Data Representation Using Inference-Driven Metric Learning. ACL (2) (2010)
Rushin Shah, Paramveer S. Dhillon, Mark Liberman, Dean P. Foster, Mohamed Maamouri, Lyle H. Ungar
A New Approach to Lexical Disambiguation of Arabic Text. EMNLP (2010)
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
Feature Selection using Multiple Streams. AISTATS (2010)
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
Transfer Learning Using Feature Selection CoRR (2009)
Paramveer S. Dhillon, Lyle H. Ungar
Transfer Learning, Feature Selection and Word Sense Disambiguation. ACL/IJCNLP (2) (2009)
Paramveer S. Dhillon, Sebastian Nowozin, Christoph H. Lampert
Combining appearance and motion for human action classification in videos. CVPR Workshops (2009)
Paramveer S. Dhillon
Robust Real-Time Face Tracking Using an Active Camera. CISIS (2009)
Paramveer S. Dhillon, Brian Tomasik, Dean P. Foster, Lyle H. Ungar
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC). ECML/PKDD (1) (2009)
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
Efficient Feature Selection in the Presence of Multiple Feature Classes. ICDM (2008)