Sep 22, 2023 |
Some recent activity:
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Jun 20, 2023 |
A few new papers to appear:
- D. Martin et al. “Enhancing Collaborative Neuroimaging Research: Introducing COINSTAC Vaults for Federated Analysis and Reproducibility”, to Frontiers in Neuroinformatics.
- Z. Wang et al., “Spectral Evolution and Invariance in Linear-width Neural Networks”, to the ICML 2023 High-dimensional Learning Dynamics Workshop.
- D. Saha et al, “Federated, Fast, and Private Visualization of Decentralized Data”, to the ICML 2023 Workshop on Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities.
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May 28, 2023 |
Just returned from a really fabulous workshop on Information-Theoretic Methods for Trustworthy Machine Learning
at the
Simons Institute for the Theory of Computing at UC Berkeley. It was weird to wander around a place I lived 20 years ago but really nice to see old friends and meet new people.
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May 19, 2023 |
Finally mostly ported everything over to the new site…
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Jul 26, 2022 |
Some new work:
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Taki, Sarwate, Bajwa, “Structured Low-Rank Tensors for Generalized Linear Models”, accepted to Transactions on Machine Learning Research (TMLR).
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Silk, Chakraborty, Dasgupta, Sarwate, Lumsdaine, Chang, “Minibatching Offers Improved Generalization Performance for Second Order Optimizers” (ArXiV).
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Jul 1, 2022 |
New grant! RINGS: REALTIME: Resilient Edge-cloud Autonomous Learning with Timely Inferences, co-PIs Roy D. Yates, Waheed U. Bajwa, and Dipankar Raychaudhuri. We will be looking at issues in adaptive edge-cloud assisted ML-based services from the ground-up.
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