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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...
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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...
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02/16/2023
Analysis of d-ary Tree Algorithms with Successive Interference Cancellation
In this article, we calculate the mean throughput, number of collisions,...
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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 ...
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05/23/2022
Agreement and Statistical Efficiency in Bayesian Perception Models
Bayesian models of group learning are studied in Economics since the 197...
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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...
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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...
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07/05/2021
Near-optimal inference in adaptive linear regression
When data is collected in an adaptive manner, even simple methods like o...
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08/20/2020
VisualSem: a high-quality knowledge graph for vision and language
We argue that the next frontier in natural language understanding (NLU) ...
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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...
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11/04/2019
Online Debiasing for Adaptively Collected High-dimensional Data
Adaptive collection of data is increasingly commonplace in many applicat...
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07/23/2018
Contextual Stochastic Block Models
We provide the first information theoretic tight analysis for inference ...
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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...
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12/18/2017
Accurate Inference for Adaptive Linear Models
Estimators computed from adaptively collected data do not behave like th...
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09/19/2017
Inference in Graphical Models via Semidefinite Programming Hierarchies
Maximum A posteriori Probability (MAP) inference in graphical models amo...
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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...
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11/20/2013
Sparse PCA via Covariance Thresholding
In sparse principal component analysis we are given noisy observations o...
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01/08/2013
