## Varun Sivashankar
## Papers**Improved Approximation Algorithms for the Joint Replenishment Problem with Outliers, and with Fairness Constraints**[paper] Varun Suriyanarayana, Varun Sivashankar, Siddharth Gollapudi, David Shmoys Symposium on Discrete Algorithms (SODA), 2024**Composable Coresets for Determinant Maximization: Greedy is Almost Optimal**[paper] Siddharth Gollapudi, Sepideh Mahabadi and Varun Sivashankar Neural Information Processing Systems (NeurIPS), 2023**MembrANNe: Graph Algorithms for Filtered Approximate Nearest Neighbor Search**[paper] Siddharth Gollapudi, Neel Karia, Varun Sivashankar, Ravishankar Krishnaswamy, Harsha Vardhan Simhadri, Nikit Begwani, Swapnil Raz, Yiyong Lin, Yin Zhang, Neelam Mahapatro, Premkumar Srinivasan and Amit Singh The Web Conference (WWW), 2023**Extremal Uniquely Resolvable Multisets**[paper] Varun Sivashankar SIAM Journal on Discrete Mathematics (SIDMA), 2023**Relinearization Attack on LPN over Large Fields**[paper] Paul Lou, Amit Sahai and Varun Sivashankar The ACM Computer Journal, 2023 Conference for Failed Approaches and Insightful Losses in Cryptology (CFAIL), 2022
## AwardsDean's Prize for Excellence in Research in Mathematics at UCLA. Shivakumar Endowed Scholarship for Research in Computer Science at UCLA. Google CS Research Mentorship Program (CSRMP) Fellow. Neo Scholar (neo.com).
## TeachingCourse Reader for CS M146 (Machine Learning) at UCLA. Assistant Instructor at the Los Angeles Math Circle. AI Workshops Officer at UCLA ACM AI.
## EducationUniversity of California, Los Angeles (2018-22) B.S. Mathematics (Honors Program). GPA: 3.98/4.00 (*summa cum laude*)
## ContactEmail: varunsiva@ucla.edu |