Janardhan Kulkarni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
45
Venues
15
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
45 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLT | DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory. | Jerry Chee, Arturs Backurs, Rainie Heck, Li Zhang, Janardhan Kulkarni, Thomas Rothvoss, Sivakanth Gopi |
| 2025 | ICLR | Towards Foundation Models for Mixed Integer Linear Programming. | Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu, Beibin Li |
| 2024 | ICLR | Differentially Private Synthetic Data via Foundation Model APIs 1: Images. | Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Harsha Nori, Sergey Yekhanin |
| 2024 | ICLR | Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. | Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim |
| 2024 | ICLR | Privately Aligning Language Models with Reinforcement Learning. | Fan Wu, Huseyin A. Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim |
| 2024 | STOC | Optimal Online Discrepancy Minimization. | Janardhan Kulkarni, Victor Reis, Thomas Rothvoss |
| 2023 | EMNLP | Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks. | Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu |
| 2023 | ICLR | Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. | Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian |
| 2022 | ICLR | Differentially Private Fine-tuning of Language Models. | Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang |
| 2022 | OSDI | Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters. | Jayashree Mohan, Amar Phanishayee, Janardhan Kulkarni, Vijay Chidambaram |
| 2022 | SODA | On the Hardness of Scheduling With Non-Uniform Communication Delays. | Sami Davies, Janardhan Kulkarni, Thomas Rothvoss, Sai Sandeep, Jakub Tarnawski, Yihao Zhang |
| 2022 | STOC | Online edge coloring via tree recurrences and correlation decay. | Janardhan Kulkarni, Yang P. Liu, Ashwin Sah, Mehtaab Sawhney, Jakub Tarnawski |
| 2021 | AISTATS | Consistent k-Median: Simpler, Better and Robust. | Xiangyu Guo, Janardhan Kulkarni, Shi Li, Jiayi Xian |
| 2021 | ICML | Differentially Private Correlation Clustering. | Mark Bun, Marek Elis, Janardhan Kulkarni |
| 2021 | ICML | Accuracy, Interpretability, and Differential Privacy via Explainable Boosting. | Harsha Nori, Rich Caruana, Zhiqi Bu, Judy Hanwen Shen, Janardhan Kulkarni |
| 2021 | SODA | Scheduling with Communication Delays via LP Hierarchies and Clustering II: Weighted Completion Times on Related Machines. | Sami Davies, Janardhan Kulkarni, Thomas Rothvoss, Jakub Tarnawski, Yihao Zhang |
| 2021 | SPAA | Scheduling Opportunistic Links in Two-Tiered Reconfigurable Datacenters. | Janardhan Kulkarni, Stefan Schmid, Pawel Schmidt |
| 2020 | COLT | Locally Private Hypothesis Selection. | Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang |
| 2020 | FOCS | Scheduling with Communication Delays via LP Hierarchies and Clustering. | Sami Davies, Janardhan Kulkarni, Thomas Rothvoss, Jakub Tarnawski, Yihao Zhang |
| 2020 | ICML | Differentially Private Set Union. | Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin |
| 2020 | ICML | Privately Learning Markov Random Fields. | Huanyu Zhang, Gautam Kamath, Janardhan Kulkarni, Zhiwei Steven Wu |
| 2020 | SODA | An Improved Algorithm for Incremental Cycle Detection and Topological Ordering in Sparse Graphs. | Sayan Bhattacharya, Janardhan Kulkarni |
| 2020 | SODA | Parallel Batch-Dynamic Graphs: Algorithms and Lower Bounds. | Laxman Dhulipala, David Durfee, Janardhan Kulkarni, Richard Peng, Saurabh Sawlani, Xiaorui Sun |
| 2020 | SODA | Differentially Private Release of Synthetic Graphs. | Marek Elis, Michael Kapralov, Janardhan Kulkarni, Yin Tat Lee |
| 2020 | SODA | Hierarchy-Based Algorithms for Minimizing Makespan under Precedence and Communication Constraints. | Janardhan Kulkarni, Shi Li, Jakub Tarnawski, Minwei Ye |
| 2019 | SODA | Deterministically Maintaining a (2 + ∊)-Approximate Minimum Vertex Cover in O(1/∊2) Amortized Update Time. | Sayan Bhattacharya, Janardhan Kulkarni |
| 2019 | SODA | A Polynomial Time Constant Approximation For Minimizing Total Weighted Flow-time. | Uriel Feige, Janardhan Kulkarni, Shi Li |
| 2019 | SODA | Lift and Project Algorithms for Precedence Constrained Scheduling to Minimize Completion Time. | Shashwat Garg, Janardhan Kulkarni, Shi Li |
| 2018 | SPAA | A Unified Rounding Algorithm For Unrelated Machines Scheduling Problems. | Nikhil R. Devanur, Janardhan Kulkarni |
| 2017 | IPCO | Minimum Birkhoff-von Neumann Decomposition. | Janardhan Kulkarni, Euiwoong Lee, Mohit Singh |
| 2016 | ICALP | Competitive Analysis of Constrained Queueing Systems. | Sungjin Im, Janardhan Kulkarni, Kamesh Munagala |
| 2016 | OSDI | GRAPHENE: Packing and Dependency-Aware Scheduling for Data-Parallel Clusters. | Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan Kulkarni |
| 2016 | OSDI | Morpheus: Towards Automated SLOs for Enterprise Clusters. | Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Iigo Goiri, Subru Krishnan, Janardhan Kulkarni, Sriram Rao |
| 2016 | SIGCOMM | ProjecToR: Agile Reconfigurable Data Center Interconnect. | Monia Ghobadi, Ratul Mahajan, Amar Phanishayee, Nikhil R. Devanur, Janardhan Kulkarni, Gireeja Ranade, Pierre-Alexandre Blanche, Houman Rastegarfar, Madeleine Glick, Daniel C. Kilper |
| 2016 | SPAA | Fair Online Scheduling for Selfish Jobs on Heterogeneous Machines. | Sungjin Im, Janardhan Kulkarni |
| 2015 | FOCS | Tight Bounds for Online Vector Scheduling. | Sungjin Im, Nathaniel Kell, Janardhan Kulkarni, Debmalya Panigrahi |
| 2015 | FOCS | Competitive Flow Time Algorithms for Polyhedral Scheduling. | Sungjin Im, Janardhan Kulkarni, Kamesh Munagala |
| 2015 | SODA | Robust Price of Anarchy Bounds via LP and Fenchel Duality. | Janardhan Kulkarni, Vahab S. Mirrokni |
| 2015 | STOC | Minimizing Flow-Time on Unrelated Machines. | Nikhil Bansal, Janardhan Kulkarni |
| 2015 | SPAA | Temporal Fairness of Round Robin: Competitive Analysis for Lk-norms of Flow Time. | Sungjin Im, Janardhan Kulkarni, Benjamin Moseley |
| 2014 | FOCS | SelfishMigrate: A Scalable Algorithm for Non-clairvoyantly Scheduling Heterogeneous Processors. | Sungjin Im, Janardhan Kulkarni, Kamesh Munagala, Kirk Pruhs |
| 2014 | ICALP | Coordination Mechanisms for Selfish Routing over Time on a Tree. | Sayan Bhattacharya, Janardhan Kulkarni, Vahab S. Mirrokni |
| 2014 | STOC | Competitive algorithms from competitive equilibria: non-clairvoyant scheduling under polyhedral constraints. | Sungjin Im, Janardhan Kulkarni, Kamesh Munagala |
| 2012 | WAOA | Algorithms for Cost-Aware Scheduling. | Janardhan Kulkarni, Kamesh Munagala |
| 2008 | ICISS | On the Decidability of Model-Checking Information Flow Properties. | Deepak D'Souza, Raveendra Holla, Janardhan Kulkarni, Raghavendra K. Ramesh, Barbara Sprick |