Venkata Gandikota | DeepAI

AI Chat

Featured Co-authors

Samson Zhou
50 publications
Arya Mazumdar
45 publications
Philip S. Thomas
36 publications
Ankit Singh Rawat
31 publications
Jeremiah Blocki
27 publications
Soumyabrata Pal
23 publications
Yash Chandak
21 publications
Elena Grigorescu
19 publications
Shiv Shankar
17 publications
Karthekeyan Chandrasekaran
16 publications
Daniel Dadush
15 publications

∙ 02/06/2023

Optimization using Parallel Gradient Evaluations on Multiple Parameters

We propose a first-order method for convex optimization, where instead o...

0 Yash Chandak, et al. ∙

∙ 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...

0 Venkata Gandikota, et al. ∙

∙ 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...

0 Venkata Gandikota, et al. ∙

∙ 02/20/2020

Reliable Distributed Clustering with Redundant Data Assignment

In this paper, we present distributed generalized clustering algorithms ...

0 Venkata Gandikota, et al. ∙

∙ 11/18/2019

vqSGD: Vector Quantized Stochastic Gradient Descent

In this work, we present a family of vector quantization schemes vqSGD (...

0 Venkata Gandikota, et al. ∙

∙ 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...

0 Larkin Flodin, et al. ∙

∙ 03/15/2018

Relaxed Locally Correctable Codes in Computationally Bounded Channels

Error-correcting codes that admit local decoding and correcting algorith...

0 Jeremiah Blocki, et al. ∙

∙ 12/22/2017

Lattice-based Locality Sensitive Hashing is Optimal

Locality sensitive hashing (LSH) was introduced by Indyk and Motwani (ST...

0 Karthekeyan Chandrasekaran, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world