Virginia Smith

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2013–2026

Best venue rank

Where they publish

Papers

26 indexed papers, newest first.

Year	Venue	Title	Authors
2026	ACL	Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders.	Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang
2026	EACL	RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models.	Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, Virginia Smith, Mona T. Diab
2025	EMNLP	Semantic Agreement Enables Efficient Open-Ended LLM Cascades.	Duncan Soiffer, Steven Kolawole, Virginia Smith
2025	ICLR	Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning.	Shengyuan Hu, Yiwei Fu, Steven Z. Wu, Virginia Smith
2025	ICLR	Many-Objective Multi-Solution Transport.	Ziyue Li, Tian Li, Virginia Smith, Jeff A. Bilmes, Tianyi Zhou
2025	NAACL	Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models.	Aashiq Muhamed, Mona T. Diab, Virginia Smith
2025	NAACL	CoRAG: Collaborative Retrieval-Augmented Generation.	Aashiq Muhamed, Mona T. Diab, Virginia Smith
2025	SOSP	COpter: Efficient Large-Scale Resource-Allocation via Continual Optimization.	Suhas Jayaram Subramanya, Don Kurian Dennis, Virginia Smith, Gregory R. Ganger
2024	EMNLP	GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients.	Aashiq Muhamed, Oscar Li, David P. Woodruff, Mona T. Diab, Virginia Smith
2024	ICML	Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation Models.	Amrith Setlur, Saurabh Garg, Virginia Smith, Sergey Levine
2023	ICLR	Differentially Private Adaptive Optimization with Delayed Preconditioners.	Tian Li, Manzil Zaheer, Ken Liu, Sashank J. Reddi, Hugh Brendan McMahan, Virginia Smith
2023	ICLR	Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts.	Amrith Setlur, Don Kurian Dennis, Benjamin Eysenbach, Aditi Raghunathan, Chelsea Finn, Virginia Smith, Sergey Levine
2022	ICLR	Diverse Client Selection for Federated Learning via Submodular Maximization.	Ravikumar Balakrishnan, Tian Li, Tianyi Zhou, Nageen Himayat, Virginia Smith, Jeff A. Bilmes
2022	ICLR	Label Leakage and Protection in Two-party Split Learning.	Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
2022	ICML	Private Adaptive Optimization with Side information.	Tian Li, Manzil Zaheer, Sashank J. Reddi, Virginia Smith
2021	ICLR	Tilted Empirical Risk Minimization.	Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
2021	ICML	Ditto: Fair and Robust Federated Learning Through Personalization.	Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith
2021	ICML	Heterogeneity for the Win: One-Shot Federated Clustering.	Don Kurian Dennis, Tian Li, Virginia Smith
2020	ICLR	Fair Resource Allocation in Federated Learning.	Tian Li, Maziar Sanjabi, Ahmad Beirami, Virginia Smith
2019	ACSSC	FedDANE: A Federated Newton-Type Method.	Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith
2019	ICLR	Efficient Augmentation via Data Subsampling.	Michael Kuchnik, Virginia Smith
2019	ICML	A Kernel Theory of Modern Data Augmentation.	Tri Dao, Albert Gu, Alexander Ratner, Virginia Smith, Chris De Sa, Christopher R
2015	ICML	Adding vs. Averaging in Distributed Primal-Dual Optimization.	Chenxin Ma, Virginia Smith, Martin Jaggi, Michael I. Jordan, Peter Richtrik, Martin Takc
2015	KDD	Going In-Depth: Finding Longform on the Web.	Virginia Smith, Miriam Connor, Isabelle Stanton
2013	ICDM	MLI: An API for Distributed Machine Learning.	Evan Randall Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska
2013	ICWS	A Change Impact Analysis Approach for Workflow Repository Management.	Gustavo Ansaldi Oliva, Marco Aurlio Gerosa, Dejan S. Milojicic, Virginia Smith