Search Results for author: Abhishek Sarkar

Found 5 papers, 1 papers with code

Machine Learning (ML)-assisted Beam Management in millimeter (mm)Wave Distributed Multiple Input Multiple Output (D-MIMO) systems

no code implementations30 Dec 2023 Karthik R M, Dhiraj Nagaraja Hegde, Muris Sarajlic, Abhishek Sarkar

Beam management (BM) protocols are critical for establishing and maintaining connectivity between network radio nodes and User Equipments (UEs).

Management

LogAnMeta: Log Anomaly Detection Using Meta Learning

no code implementations21 Dec 2022 Abhishek Sarkar, Tanmay Sen, Srimanta Kundu, Arijit Sarkar, Abdul Wazed

Modern telecom systems are monitored with performance and system logs from multiple application layers and components.

Anomaly Detection Meta-Learning

Non-negative matrix factorization algorithms greatly improve topic model fits

1 code implementation27 May 2021 Peter Carbonetto, Abhishek Sarkar, ZiHao Wang, Matthew Stephens

We report on the potential for using algorithms for non-negative matrix factorization (NMF) to improve parameter estimation in topic models.

Topic Models Variational Inference

Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data

no code implementations24 Jan 2019 Yongjin Park, Abhishek Sarkar, Khoi Nguyen, Manolis Kellis

We can achieve necessary interpretation of GWAS in a causal mediation framework, looking to establish a sparse set of mediators between genetic and downstream variables, but there are several challenges.

Causal Inference

DiGrad: Multi-Task Reinforcement Learning with Shared Actions

no code implementations27 Feb 2018 Parijat Dewangan, S Phaniteja, K. Madhava Krishna, Abhishek Sarkar, Balaraman Ravindran

In this paper, we propose a new approach for simultaneous training of multiple tasks sharing a set of common actions in continuous action spaces, which we call as DiGrad (Differential Policy Gradient).

Multi-Task Learning reinforcement-learning +1

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