11 citations · 19 across the 7 of their papers we have counts for
9 papers
To Store or Not to Store: a graph theoretical approach for Dataset Versioning
Anxin Guo, Jingwei Li, Pattara Sukprasert +3
In this work, we study the cost efficient data versioning problem, where the goal is to optimize the storage and reconstruction (retrieval) costs of data versions, given a graph of…
Towards Optimizing Storage Costs on the Cloud
Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini +5
We study the problem of optimizing data storage and access costs on the cloud while ensuring that the desired performance or latency is unaffected. We first propose an optimizer th…
A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs
Koyel Mukherjee, Alind Khare, Ashish Verma
Training neural networks on image datasets generally require extensive experimentation to find the optimal learning rate regime. Especially, for the cases of adversarial training o…
Layer Dynamics of Linearised Neural Nets
Saurav Basu, Koyel Mukherjee, Shrihari Vasudevan
Despite the phenomenal success of deep learning in recent years, there remains a gap in understanding the fundamental mechanics of neural nets. More research is focussed on handcra…
Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing
Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula +3
This paper provides efficient solutions to maximize profit for commercial ridesharing services, under a pricing model with detour-based discounts for passengers. We propose greedy…
Learning to Partition using Score Based Compatibilities
Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula
We study the problem of learning to partition users into groups, where one must learn the compatibilities between the users to achieve optimal groupings. We define four natural obj…
LP Rounding and Combinatorial Algorithms for Minimizing Active and Busy Time
Jessica Chang, Samir Khuller, Koyel Mukherjee
We consider fundamental scheduling problems motivated by energy issues. In this framework, we are given a set of jobs, each with a release time, deadline and required processing le…
The Costs and Benefits of Sharing: Sequential Individual Rationality and Sequential Fairness
Ragavendran Gopalakrishnan, Koyel Mukherjee, Theja Tulabandhula
In designing dynamic shared service systems that incentivize customers to opt for shared rather than exclusive service, the traditional notion of individual rationality may be insu…
A Game-Theoretic Model Motivated by the DARPA Network Challenge
Rajesh Chitnis, MohammadTaghi Hajiaghayi, Jonathan Katz +1
In this paper we propose a game-theoretic model to analyze events similar to the 2009 \emph{DARPA Network Challenge}, which was organized by the Defense Advanced Research Projects…