Yash Deshpande | DeepAI

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∙ 09/06/2023

Evaluation of NR-Sidelink for Cooperative Industrial AGVs

Industry 4.0 has brought to attention the need for a connected, flexible...

0 Shubhangi Bhadauria, et al. ∙

∙ 08/29/2023

An Advanced Tree Algorithm with Interference Cancellation in Uplink and Downlink

In this paper, we propose Advanced Tree-algorithm with Interference Canc...

0 Quirin Vogel, et al. ∙

∙ 02/16/2023

Analysis of d-ary Tree Algorithms with Successive Interference Cancellation

In this article, we calculate the mean throughput, number of collisions,...

0 Quirin Vogel, et al. ∙

∙ 08/08/2022

On d-ary tree algorithms with successive interference cancellation

In this paper, we outline the approach for the derivation of the length ...

0 Yash Deshpande, et al. ∙

∙ 05/23/2022

Agreement and Statistical Efficiency in Bayesian Perception Models

Bayesian models of group learning are studied in Economics since the 197...

0 Yash Deshpande, et al. ∙

∙ 02/18/2022

Improving AoI via Learning-based Distributed MAC in Wireless Networks

In this work, we consider a remote monitoring scenario in which multiple...

0 Yash Deshpande, et al. ∙

∙ 08/02/2021

Tree-Algorithms with Multi-Packet Reception and Successive Interference Cancellation

In this paper, we perform a thorough analysis of tree-algorithms with mu...

0 Cedomir Stefanovic, et al. ∙

∙ 07/05/2021

Near-optimal inference in adaptive linear regression

When data is collected in an adaptive manner, even simple methods like o...

0 Koulik Khamaru, et al. ∙

∙ 08/20/2020

VisualSem: a high-quality knowledge graph for vision and language

We argue that the next frontier in natural language understanding (NLU) ...

30 Houda Alberts, et al. ∙

∙ 05/28/2020

Analysis of Tree-Algorithms with Multi-Packet Reception

In this paper, we analyze binary-tree algorithms in a setup in which the...

0 Cedomir Stefanovic, et al. ∙

∙ 11/04/2019

Online Debiasing for Adaptively Collected High-dimensional Data

Adaptive collection of data is increasingly commonplace in many applicat...

15 Yash Deshpande, et al. ∙

∙ 07/23/2018

Contextual Stochastic Block Models

We provide the first information theoretic tight analysis for inference ...

0 Yash Deshpande, et al. ∙

∙ 04/14/2018

The threshold for SDP-refutation of random regular NAE-3SAT

Unlike its cousin 3SAT, the NAE-3SAT (not-all-equal-3SAT) problem has th...

0 Yash Deshpande, et al. ∙

∙ 12/18/2017

Accurate Inference for Adaptive Linear Models

Estimators computed from adaptively collected data do not behave like th...

0 Yash Deshpande, et al. ∙

∙ 09/19/2017

Inference in Graphical Models via Semidefinite Programming Hierarchies

Maximum A posteriori Probability (MAP) inference in graphical models amo...

0 Murat A. Erdogdu, et al. ∙

∙ 02/23/2015

Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Problems

Given a large data matrix A∈R^n× n, we consider the problem of determini...

0 Yash Deshpande, et al. ∙

∙ 11/20/2013

Sparse PCA via Covariance Thresholding

In sparse principal component analysis we are given noisy observations o...

0 Yash Deshpande, et al. ∙

∙ 01/08/2013

Linear Bandits in High Dimension and Recommendation Systems

A large number of online services provide automated recommendations to h...

0 Yash Deshpande, et al. ∙

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