59 citations · 91 across the 7 of their papers we have counts for
7 papers
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments
Ritam Guha, Nilavra Pathak
Counterfactual estimators are critical for learning and refining policies using logged data, a process known as Off-Policy Evaluation (OPE). OPE allows researchers to assess new po…
Discovering Adaptable Symbolic Algorithms from Scratch
Stephen Kelly, Daniel S. Park, Xingyou Song +8
Autonomous robots deployed in the real world will need control policies that rapidly adapt to environmental changes. To this end, we propose AutoRobotics-Zero (ARZ), a method based…
Sewage Pooling Test for SARS-CoV-2
Ritam Guha, Anik Sengupta, Ankan Dutta
CoVID-19 is currently one of the biggest threats to mankind. To date, it is the reason for infections of over 35 lakhs and the death of over 2 lakh human beings. We propose a proce…
Atom Search Optimization with Simulated Annealing -- a Hybrid Metaheuristic Approach for Feature Selection
Kushal Kanti Ghosh, Ritam Guha, Soulib Ghosh +2
'Hybrid meta-heuristics' is one of the most interesting recent trends in the field of optimization and feature selection (FS). In this paper, we have proposed a binary variant of A…
Fuzzy Mutation Embedded Hybrids of Gravitational Search and Particle Swarm Optimization Methods for Engineering Design Problems
Devroop Kar, Manosij Ghosh, Ritam Guha +3
Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO) are nature-inspired, swarm-based optimization algorithms respectively. Though they have been widely used…
A Hybrid Swarm and Gravitation based feature selection algorithm for Handwritten Indic Script Classification problem
Ritam Guha, Manosij Ghosh, Pawan Kumar Singh +2
In any multi-script environment, handwritten script classification is of paramount importance before the document images are fed to their respective Optical Character Recognition (…
Embedded Chaotic Whale Survival Algorithm for Filter-Wrapper Feature Selection
Ritam Guha, Manosij Ghosh, Shyok Mutsuddi +2
Classification accuracy provided by a machine learning model depends a lot on the feature set used in the learning process. Feature Selection (FS) is an important and challenging p…