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Published Date

Video

Microsoft Research India – The evolution

September 30, 2025 | Venkat Padmanabhan, P. Anandan, Rick Rashid, Peter Lee, Doug Burger, Sriram Rajamani

Learn about Microsoft Research India’s journey from its inception to becoming a leading research center in computer science in India.

Peter Lee, Sriram Rajamani, Venkat Padmanabhan, and Doug Burger standing together smiling

06:04

Publication

Improved Constructions and Lower Bounds for Maximally Recoverable Grid Codes

Joshua Brakensiek, Manik Dhar, Sivakanth Gopi

September 2025

Publication

Integral Online Algorithms for Set Cover and Load Balancing with Convex Objectives

Thomas Kesselheim, Marco Molinaro, Kalen Patton, Sahil Singla

FOCS | August 2025

Publication

Streaming Algorithms for Network Design

Chandra Chekuri, Rhea Jain, Sepideh Mahabadi, Ali Vakilian

International Conference on Approximation Algorithms for Combinatorial Optimization Problems (APPROX) | August 2025

Publication

TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models

Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025

Project

Publication

A 0.51-Approximation of Maximum Matching in Sublinear n^1.5 Time

Sepideh Mahabadi, Mohammad Roghani, Jakub Tarnawski

ICALP 2025 | July 2025

Publication

Offline Learning for Combinatorial Multi-armed Bandits

Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen

Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025

Publication

Graph-Based Algorithms for Diverse Similarity Search

Piyush Anand, Piotr Indyk, Ravishankar Krishnaswamy, Sepideh Mahabadi, Vikas C. Raykar, Kiran Shiragur, Haike Xu

ICML 2025 | July 2025

Publication

Guessing Efficiently for Constrained Subspace Approximation

Aditya Bhaskara, Sepideh Mahabadi, Madhusudhan Reddy Pittu, Ali Vakilian, David Woodruff

International Colloquium on Automata, Languages, and Programming (ICALP) | July 2025

Project

Agent Lightning

Optimize ANY agent with ANY framework We present Agent Lightning (opens in new tab), a flexible and extensible framework that enables seamless agent optimization for any existing agent framework. Here agent optimization includes various data-driven…