Paramveer S. Dhillon

53 papers A* 6A 6B 1Misc 1Journal 23Unranked 15
YearRankTypeTitle / Venue / Authors
2026 A* conf
Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High Quality Books.
CHI
Tuhin Chakrabarty, Paramveer S. Dhillon
2026 J jnl
Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High-Quality Books.
CoRR
Tuhin Chakrabarty, Paramveer S. Dhillon
2026 J jnl
Who Owns the Text? Design Patterns for Preserving Authorship in AI-Assisted Writing.
CoRR
Bohan Zhang, Chengke Bu, Paramveer S. Dhillon
2025 J jnl
Demographic disparity in Wikipedia coverage: a global perspective.
EPJ Data Sci.
Yulin Yu, Xianglong Li, Tianyi Li, Paramveer S. Dhillon, Daniel M. Romero
2025 J jnl
Dual Debiasing for Noisy In-Context Learning for Text Generation.
CoRR
Siqi Liang, Sumyeong Ahn, Paramveer S. Dhillon, Jiayu Zhou
2025 — conf
Leveraging Group-Level Signals for Robust Many-Domain Generalization.
PAKDD (3)
Bohan Zhang, Yachuan Liu, Qiaozhu Mei, Paramveer S. Dhillon
2025 J jnl
Policy Learning with a Natural Language Action Space: A Causal Approach.
CoRR
Bohan Zhang, Yixin Wang, Paramveer S. Dhillon
2025 A conf
Recommendation and Temptation.
RecSys
Md Sanzeed Anwar, Paramveer S. Dhillon, Grant Schoenebeck
2025 J jnl
Signals in the Noise: Decoding Unexpected Engagement Patterns on Twitter.
CoRR
Yulin Yu, Houming Chen, Daniel M. Romero, Paramveer S. Dhillon
2025 J jnl
Signals in the Noise: Decoding Unexpected Engagement Patterns on Twitter.
Proc. ACM Hum. Comput. Interact.
Yulin Yu, Houming Chen, Daniel M. Romero, Paramveer S. Dhillon
2024 J jnl
Causal Inference for Human-Language Model Collaboration.
CoRR
Bohan Zhang, Yixin Wang, Paramveer S. Dhillon
2024 J jnl
Characterizing the Structure of Online Conversations Across Reddit.
Proc. ACM Hum. Comput. Interact.
Yulin Yu, Julie Jiang, Paramveer S. Dhillon
2024 A* conf
Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns.
WWW
Md Sanzeed Anwar, Grant Schoenebeck, Paramveer S. Dhillon
2024 J jnl
Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns.
CoRR
Md Sanzeed Anwar, Grant Schoenebeck, Paramveer S. Dhillon
2024 J jnl
Recommendation and Temptation.
CoRR
Md Sanzeed Anwar, Paramveer S. Dhillon, Grant Schoenebeck
2024 A* conf
Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models.
CHI
Paramveer S. Dhillon, Somayeh Molaei, Jiaqi Li, Maximilian Golub, Shaochun Zheng, Lionel Peter Robert
2024 J jnl
Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models.
CoRR
Paramveer S. Dhillon, Somayeh Molaei, Jiaqi Li, Maximilian Golub, Shaochun Zheng, Lionel P. Robert
2023 A conf
Unique in What Sense? Heterogeneous Relationships between Multiple Types of Uniqueness and Popularity in Music.
ICWSM
Yulin Yu, Pui Yin Cheung, Yong-Yeol Ahn, Paramveer S. Dhillon
2023 J jnl
What (Exactly) Is Novelty in Networks? Unpacking the Vision Advantages of Brokers, Bridges, and Weak Ties.
Manag. Sci.
Sinan Aral, Paramveer S. Dhillon
2022 — conf
Detecting Struggling Students from Interactive Ebook Data: A Case Study Using CSAwesome.
SIGCSE (1)
Barbara J. Ericson, Hisamitsu Maeda, Paramveer S. Dhillon
2022 A conf
Judging a Book by Its Cover: Predicting the Marginal Impact of Title on Reddit Post Popularity.
ICWSM
Evan Weissburg, Arya Kumar, Paramveer S. Dhillon
2021 — conf
Comparing Ebook Student Interactions With Test Scores: A Case Study Using CSAwesome (Work in Progress).
EDM (Workshops)
Hisamitsu Maeda, Barbara Ericson, Paramveer S. Dhillon
2021 J jnl
Digital Paywall Design: Implications for Content Demand and Subscriptions.
Manag. Sci.
Sinan Aral, Paramveer S. Dhillon
2021 J jnl
Judging a book by its cover: Predicting the marginal impact of title on Reddit post popularity.
CoRR
Evan Weissburg, Arya Kumar, Paramveer S. Dhillon
2021 J jnl
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach.
CoRR
Paramveer S. Dhillon, Sinan Aral
2021 J jnl
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach.
Mark. Sci.
Paramveer S. Dhillon, Sinan Aral
2020 J jnl
Targeting for long-term outcomes.
CoRR
Jeremy Yang, Dean Eckles, Paramveer S. Dhillon, Sinan Aral
2015 J jnl
Eigenwords: spectral word embeddings.
J. Mach. Learn. Res.
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2015 — ed.
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, VS@NAACL-HLT 2015, June 5, 2015, Denver, Colorado, USA
VS@NAACL-HLT
Phil Blunsom, Shay B. Cohen, Paramveer S. Dhillon, Percy Liang
2014 J jnl
Subject-specific functional parcellation via Prior Based Eigenanatomy.
NeuroImage
Paramveer S. Dhillon, David A. Wolk, Sandhitsu R. Das, Lyle H. Ungar, James C. Gee, Brian B. Avants
2013 J jnl
A risk comparison of ordinary least squares vs ridge regression.
J. Mach. Learn. Res.
Paramveer S. Dhillon, Dean P. Foster, Sham M. Kakade, Lyle H. Ungar
2013 — conf
Anatomically-Constrained PCA for Image Parcellation.
PRNI
Paramveer S. Dhillon, James C. Gee, Lyle H. Ungar, Brian B. Avants
2013 — conf
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform.
NIPS
Yichao Lu, Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2013 B conf
Learning to explore scientific workflow repositories.
SSDBM
Julia Stoyanovich, Paramveer S. Dhillon, Susan B. Davidson, Brian Lyons
2013 — conf
New Subsampling Algorithms for Fast Least Squares Regression.
NIPS
Paramveer S. Dhillon, Yichao Lu, Dean P. Foster, Lyle H. Ungar
2012 A conf
Deterministic Annealing for Semi-Supervised Structured Output Learning.
AISTATS
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam
2012 — conf
Eigenanatomy Improves Detection Power for Longitudinal Cortical Change.
MICCAI (3)
Brian B. Avants, Paramveer S. Dhillon, Benjamin M. Kandel, Philip A. Cook, Corey McMillan, Murray Grossman, James C. Gee
2012 — conf
Metric Learning for Graph-Based Domain Adaptation.
COLING (Posters)
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer
2012 — conf
Partial sparse canonical correlation analysis (PSCCA) for population studies in medical imaging.
ISBI
Paramveer S. Dhillon, Brian B. Avants, Lyle H. Ungar, James C. Gee
2012 — conf
Spectral Dependency Parsing with Latent Variables.
EMNLP-CoNLL
Paramveer S. Dhillon, Jordan Rodu, Michael Collins, Dean P. Foster, Lyle H. Ungar
2012 A* conf
Using CCA to improve CCA: A new spectral method for estimating vector models of words.
ICML
Paramveer S. Dhillon, Jordan Rodu, Dean P. Foster, Lyle H. Ungar
2011 J jnl
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning.
J. Mach. Learn. Res.
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2011 — conf
Multi-View Learning of Word Embeddings via CCA.
NIPS
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2011 A conf
Semi-supervised multi-task learning of structured prediction models for web information extraction.
CIKM
Paramveer S. Dhillon, Sundararajan Sellamanickam, Sathiya Keerthi Selvaraj
2010 A* conf
A New Approach to Lexical Disambiguation of Arabic Text.
EMNLP
Rushin Shah, Paramveer S. Dhillon, Mark Y. Liberman, Dean P. Foster, Mohamed Maamouri, Lyle H. Ungar
2010 A conf
Feature Selection using Multiple Streams.
AISTATS
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2010 — conf
Learning Better Data Representation Using Inference-Driven Metric Learning.
ACL (2)
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer
2009 — conf
Combining appearance and motion for human action classification in videos.
CVPR Workshops
Paramveer S. Dhillon, Sebastian Nowozin, Christoph H. Lampert
2009 — conf
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC).
ECML/PKDD (1)
Paramveer S. Dhillon, Brian Tomasik, Dean P. Foster, Lyle H. Ungar
2009 Misc conf
Robust Real-Time Face Tracking Using an Active Camera.
CISIS
Paramveer S. Dhillon
2009 J jnl
Transfer Learning Using Feature Selection
CoRR
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2009 — conf
Transfer Learning, Feature Selection and Word Sense Disambiguation.
ACL/IJCNLP (2)
Paramveer S. Dhillon, Lyle H. Ungar
2008 A* conf
Efficient Feature Selection in the Presence of Multiple Feature Classes.
ICDM
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar