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02/06/2023
Optimization using Parallel Gradient Evaluations on Multiple Parameters
We propose a first-order method for convex optimization, where instead o...
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06/10/2021
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
Recovery of support of a sparse vector from simple measurements is a wid...
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10/22/2020
Recovery of sparse linear classifiers from mixture of responses
In the problem of learning a mixture of linear classifiers, the aim is t...
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02/20/2020
Reliable Distributed Clustering with Redundant Data Assignment
In this paper, we present distributed generalized clustering algorithms ...
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11/18/2019
vqSGD: Vector Quantized Stochastic Gradient Descent
In this work, we present a family of vector quantization schemes vqSGD (...
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10/30/2019
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing
One-bit compressed sensing (1bCS) is a method of signal acquisition unde...
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03/15/2018
Relaxed Locally Correctable Codes in Computationally Bounded Channels
Error-correcting codes that admit local decoding and correcting algorith...
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12/22/2017
