1 code implementation • 9 Feb 2024 • Archit Sood, Shweta Jain, Sujit Gujar
However, they do not consider the distribution of pulls among the arms.
no code implementations • 8 Feb 2024 • Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Swapnil Dhamal, Sujit Gujar
At the first level, Bi-Level Fairness guarantees a certain minimum exposure to each group.
no code implementations • 5 Feb 2024 • Sambhav Solanki, Shweta Jain, Sujit Gujar
We design a novel communication protocol that allows for (i) Sub-linear theoretical bounds on fairness regret for Fed-FairX-LinUCB and comparable bounds for the private counterpart, Priv-FairX-LinUCB (relative to single-agent learning), (ii) Effective use of privacy budget in Priv-FairX-LinUCB.
no code implementations • 24 Feb 2023 • Sanjay Chandlekar, Arthik Boroju, Shweta Jain, Sujit Gujar
Finally, we showcase the efficacy of the proposed algorithm in mitigating demand peaks in a real-world smart grid system using the PowerTAC simulator as a test bed.
no code implementations • 8 Feb 2022 • Debojit Das, Shweta Jain, Sujit Gujar
With this reduction, we propose CBwK-LPUCB that uses PrimalDualBwK ingeniously.
1 code implementation • 5 Dec 2021 • Shrikant Saxena, Shweta Jain
We propose a model to quantify the gender bias present in book rating datasets and in the recommendations produced by the recommender systems.
no code implementations • 29 Nov 2021 • Suvadeep Banerjee, Steve Burns, Pasquale Cocchini, Abhijit Davare, Shweta Jain, Desmond Kirkpatrick, Anton Sorokin, Jin Yang, Zhenkun Yang
We have enhanced the VTA design space and enabled end-to-end support for additional workloads.
no code implementations • 13 Sep 2021 • Ajay Gangwar, Shweta Jain
With the help of comprehensive experiments on real-world datasets, we show that our proposed algorithm outperforms the existing algorithms on the proposed popularity bias metric.
1 code implementation • 2 Sep 2021 • Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain
We revisit the problem of fair clustering, first introduced by Chierichetti et al., that requires each protected attribute to have approximately equal representation in every cluster; i. e., a balance property.
no code implementations • 3 Nov 2020 • Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C Krishnan, Shweta Jain
Novel approximations to the coverage and precision measures in terms of the parameters of the hyper-cuboid are defined.
1 code implementation • 24 Mar 2020 • Kei Nemoto, Shweta Jain
Using this framework, data mining practitioners can detect a subjective class at an early stage of their projects, and avoid wasting their precious time and resources by dealing with subjective class problem with traditional machine learning techniques.
no code implementations • 26 Feb 2020 • Kumar Abhishek, Shweta Jain, Sujit Gujar
It is in the best interest of the center to select an ad that has a high expected value (i. e., probability of getting a click $\times$ value it derives from a click of the ad).
no code implementations • 24 Jan 2020 • Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari
In this paper, we introduce Ballooning Multi-Armed Bandits (BL-MAB), a novel extension of the classical stochastic MAB model.
1 code implementation • 17 Nov 2016 • Shweta Jain, C. Seshadhri
Most methods used for triangle counting do not scale for large cliques, and existing algorithms require massive parallelism to be feasible.
Social and Information Networks Data Structures and Algorithms
no code implementations • 12 Feb 2016 • Satyanath Bhat, Divya Padmanabhan, Shweta Jain, Y. Narahari
The time to failure of a worker depends on the duration of the task handled by the worker.
no code implementations • 27 Jun 2014 • Shweta Jain, Sujit Gujar, Satyanath Bhat, Onno Zoeter, Y. Narahari
First, we propose a framework, Assured Accuracy Bandit (AAB), which leads to an MAB algorithm, Constrained Confidence Bound for a Non Strategic setting (CCB-NS).
no code implementations • 10 May 2013 • Shweta Jain, Urmila Shrawankar
Image Processing, Optimization and Prediction of an Image play a key role in Computer Science.