no code implementations • 14 Mar 2023 • Anirban Bhattacharjee, Sushant Vijayan, Sandeep K Juneja
We exploit the fact that the reward process for each arm is well approximated by a Compound Poisson process to arrive at algorithms that are faster, with a small increase in sample complexity.
no code implementations • 17 Dec 2020 • Sumeru Hazra, Anirban Bhattacharjee, Madhavi Chand, Kishor V. Salunkhe, Sriram Gopalakrishnan, Meghan P. Patankar, R. Vijay
Qubit coherence and gate fidelity are typically considered the two most important metrics for characterizing a quantum processor.
Quantum Physics
1 code implementation • 11 Aug 2020 • Shubhada Agrawal, Siddharth Bhandari, Anirban Bhattacharjee, Anand Deo, Narendra M. Dixit, Prahladh Harsha, Sandeep Juneja, Poonam Kesarwani, Aditya Krishna Swamy, Preetam Patil, Nihesh Rathod, Ramprasad Saptharishi, Sharad Shriram, Piyush Srivastava, Rajesh Sundaresan, Nidhin Koshy Vaidhiyan, Sarath Yasodharan
We highlight the usefulness of city-scale agent-based simulators in studying various non-pharmaceutical interventions to manage an evolving pandemic.
Populations and Evolution Other Computer Science Physics and Society Quantitative Methods
no code implementations • 3 Apr 2019 • Anirban Bhattacharjee, Yogesh Barve, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, Thomas Damiano
With the proliferation of machine learning (ML) libraries and frameworks, and the programming languages that they use, along with operations of data loading, transformation, preparation and mining, ML model development is becoming a daunting task.
no code implementations • 2 Apr 2019 • Anirban Bhattacharjee, Ajay Dev Chhokra, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale, Gabor Karsai
Third, we propose an efficient heuristic to identify suitable compute resource configurations.