Ubaru, Shashanka

12 publications

TMLR 2025 Combinatorial Multi-Armed Bandits: Arm Selection via Group Testing Arpan Mukherjee, Shashanka Ubaru, Keerthiram Murugesan, Karthikeyan Shanmugam, Ali Tajer

NeurIPS 2025 Transformers Learn Faster with Semantic Focus Parikshit Ram, Kenneth L. Clarkson, Tim Klinger, Shashanka Ubaru, Alexander G. Gray

AISTATS 2024 Asynchronous Randomized Trace Estimation Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu, Georgios Kollias, Lior Horesh

ICLR 2024 Topological Data Analysis on Noisy Quantum Computers Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh

ICML 2021 Analysis of Stochastic Lanczos Quadrature for Spectrum Approximation Tyler Chen, Thomas Trogdon, Shashanka Ubaru

ICML 2021 Projection Techniques to Update the Truncated SVD of Evolving Matrices with Applications Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth Clarkson

NeurIPS 2020 Multilabel Classification by Hierarchical Partitioning and Data-Dependent Grouping Shashanka Ubaru, Sanjeeb Dash, Arya Mazumdar, Oktay Gunluk

ICLR 2020 Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron

ICML 2017 Multilabel Classification with Group Testing and Codes Shashanka Ubaru, Arya Mazumdar

NeurIPS 2017 Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction Kristofer Bouchard, Alejandro Bujan, Fred Roosta, Shashanka Ubaru, Mr. Prabhat, Antoine Snijders, Jian-Hua Mao, Edward Chang, Michael W. Mahoney, Sharmodeep Bhattacharya

ICML 2016 Fast Methods for Estimating the Numerical Rank of Large Matrices Shashanka Ubaru, Yousef Saad

ICML 2015 Low Rank Approximation Using Error Correcting Coding Matrices Shashanka Ubaru, Arya Mazumdar, Yousef Saad