Virginia Smith
36 papers · 2014–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 42% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Virginia Smith?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Amrith Setlur, Mona T. Diab, Aashiq Muhamed
15 papers
· 2021–2026
· NeurIPS, NAACL, ICLR
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with Tian Li, Maziar Sanjabi, Shengyuan Hu
14 papers
· 2017–2025
· ICLR, NeurIPS, ICML
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Many-Objective Multi-Solution Transport
ICLR 2025
Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning
ICLR 2025
No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
NeurIPS 2024
Differentially Private Adaptive Optimization with Delayed Preconditioners
ICLR 2023
On Tilted Losses in Machine Learning: Theory and Applications
JMLR 2023
Diverse Client Selection for Federated Learning via Submodular Maximization
ICLR 2022
On Privacy and Personalization in Cross-Silo Federated Learning
NeurIPS 2022
Private Adaptive Optimization with Side information
ICML 2022
Ditto: Fair and Robust Federated Learning Through Personalization
ICML 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
NeurIPS 2021
Heterogeneity for the Win: One-Shot Federated Clustering
ICML 2021
Tilted Empirical Risk Minimization
ICLR 2021
Fair Resource Allocation in Federated Learning
ICLR 2020
Federated Multi-Task Learning
NeurIPS 2017