Saving on cooling: the thermal scheduling problem. - Koyel Mukherjee; Samir Khuller; Amol Deshpande (SIGMETRICS, 2012)

A Game-Theoretic Model Motivated by the DARPA Network Challenge - Rajesh Hemant Chitnis; MohammadTaghi Hajiaghayi; Jonathan Katz; Koyel Mukherjee (CoRR, 2012)

Replica Placement via Capacitated Vertex Cover. - Sonika Arora; Venkatesan T. Chakaravarthy; Neelima Gupta; Koyel Mukherjee; Yogish Sabharwal (FSTTCS, 2013)

To send or not to send: Reducing the cost of data transmission. - Leana Golubchik; Samir Khuller; Koyel Mukherjee; Yuan Yao (INFOCOM, 2013)

Algorithms for the Thermal Scheduling Problem. - Koyel Mukherjee; Samir Khuller; Amol Deshpande (IPDPS, 2013)

Brief announcement: a game-theoretic model motivated by the darpa network challenge. - Rajesh Hemant Chitnis; MohammadTaghi Hajiaghayi; Jonathan Katz; Koyel Mukherjee (SPAA, 2013)

Algorithmic Approaches to Reducing Resource Costs in Data Centers. - Koyel Mukherjee (2013)

PISCES: Participatory Incentive Strategies for Effective Community Engagement in Smart Cities. - Arpita Biswas; Deepthi Chander; Koustuv Dasgupta; Koyel Mukherjee; Mridula Singh; Tridib Mukherjee (HCOMP, 2015)

Fair Resource Allocation for Heterogeneous Tasks. - Koyel Mukherjee; Partha Dutta; Gurulingesh Raravi; Thangaraj Rajasubramaniam; Koustuv Dasgupta; Atul Singh (IPDPS, 2015)

TRaining AssigNment Service (TRANS) to Meet Organization Level Skill Need. - Atul Singh; Thangaraj Rajasubramaniam; Gurulingesh Raravi; Koyel Mukherjee; Partha Dutta; Koustuv Dasgupta (BIS, 2016)

The Costs and Benefits of Ridesharing: Sequential Individual Rationality and Sequential Fairness. - Ragavendran Gopalakrishnan; Koyel Mukherjee; Theja Tulabandhula (CoRR, 2016)

Profit Optimization in Commercial Ridesharing. - Arpita Biswas; Ragavendran Gopalakrishnan; Theja Tulabandhula; Koyel Mukherjee; Asmita Metrewar; Thangaraj Rajasubramaniam (AAMAS, 2017)

Learning to Partition using Score Based Compatibilities. - Arun Rajkumar; Koyel Mukherjee; Theja Tulabandhula (AAMAS, 2017)

Xhare-a-Ride: A Search Optimized Dynamic Ride Sharing System with Approximation Guarantee. - Raja Subramaniam Thangaraj; Koyel Mukherjee; Gurulingesh Raravi; Asmita Metrewar; Narendra Annamaneni; Koushik Chattopadhyay (ICDE, 2017)

LP rounding and combinatorial algorithms for minimizing active and busy time. - Jessica Chang; Samir Khuller; Koyel Mukherjee (J. Sched., 2017)

Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing. - Arpita Biswas; Ragavendran Gopalakrishnan; Theja Tulabandhula; Asmita Metrewar; Koyel Mukherjee; Raja Subramaniam Thangaraj (ATT@IJCAI, 2018)

Layer Dynamics of Linearised Neural Nets. - Saurav Basu; Koyel Mukherjee; Shrihari Vasudevan (CoRR, 2019)

A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs. - Koyel Mukherjee; Alind Khare; Ashish Verma 001 (CoRR, 2019)

ComParE: A User Behavior Centric Framework for Personalized Recommendations in Skill Gaming Platforms. - Koyel Mukherjee; Deepanshi Seth; Prachi Mittal; Nuthi S. Gowtham; Tridib Mukherjee; Dattatreya Biswas; Sanjay Agrawal 005 (COMAD/CODS, 2022)

Towards Optimizing Storage Costs on the Cloud. - Koyel Mukherjee; Raunak Shah; Shiv Kumar Saini; Karanpreet Singh; Khushi; Harsh Kesarwani; Kavya Barnwal; Ayush Chauhan (ICDE, 2023)

Flash: Concept Drift Adaptation in Federated Learning. - Kunjal Panchal; Sunav Choudhary; Subrata Mitra; Koyel Mukherjee; Somdeb Sarkhel; Saayan Mitra; Hui Guan 001 (ICML, 2023)

Approximate Caching for Efficiently Serving Diffusion Models. - Shubham Agarwal 007; Subrata Mitra; Sarthak Chakraborty; Srikrishna Karanam; Koyel Mukherjee; Shiv Kumar Saini (CoRR, 2023)

R2D2: Reducing Redundancy and Duplication in Data Lakes. - Raunak Shah; Koyel Mukherjee; Atharv Tyagi; Sai Keerthana Karnam; Dhruv Joshi; Shivam Pravin Bhosale; Subrata Mitra (Proc. ACM Manag. Data, 2023)

To Store or Not to Store: a graph theoretical approach for Dataset Versioning. - Anxin Guo; Jingwei Li; Pattara Sukprasert; Samir Khuller; Amol Deshpande; Koyel Mukherjee (IPDPS, 2024)

Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models. - Shubham Agarwal 007; Subrata Mitra; Sarthak Chakraborty; Srikrishna Karanam; Koyel Mukherjee; Shiv Kumar Saini (NSDI, 2024)

Towards Optimizing the Costs of LLM Usage. - Shivanshu Shekhar; Tanishq Dubey; Koyel Mukherjee; Apoorv Saxena; Atharv Tyagi; Nishanth Kotla (CoRR, 2024)

FiRST: Finetuning Router-Selective Transformers for Input-Adaptive Latency Reduction. - Akriti Jain; Saransh Sharma; Koyel Mukherjee; Soumyabrata Pal (CoRR, 2024)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from related Example Banks. - Soumya Suvra Ghosal; Soumyabrata Pal; Koyel Mukherjee; Dinesh Manocha (NAACL (Long Papers), 2025)