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02/27/2023
Communication Trade-offs in Federated Learning of Spiking Neural Networks
Spiking Neural Networks (SNNs) are biologically inspired alternatives to...
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12/01/2022
Regularization with Fake Features
Recent successes of massively overparameterized models have inspired a n...
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11/30/2022
Continual Learning with Distributed Optimization: Does CoCoA Forget?
We focus on the continual learning problem where the tasks arrive sequen...
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04/06/2022
Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization
We prove rigorous results on the double descent phenomenon in random fea...
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03/07/2022
Estimation and Model Misspecification: Fake and Missing Features
We consider estimation under model misspecification where there is a mod...
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05/25/2021
Model Mismatch Trade-offs in LMMSE Estimation
We consider a linear minimum mean squared error (LMMSE) estimation frame...
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02/17/2021
Chance-Constrained Active Inference
Active Inference (ActInf) is an emerging theory that explains perception...
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01/22/2021
Linear Regression with Distributed Learning: A Generalization Error Perspective
Distributed learning provides an attractive framework for scaling the le...
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04/30/2020
Generalization Error for Linear Regression under Distributed Learning
Distributed learning facilitates the scaling-up of data processing by di...
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02/12/2020
Sparse Recovery With Non-Linear Fourier Features
Random non-linear Fourier features have recently shown remarkable perfor...
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06/06/2018
