Sadhanala, Veeranjaneyulu

6 publications

ICML 2024 USTAD: Unified Single-Model Training Achieving Diverse Scores for Information Retrieval Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar

AISTATS 2019 A Higher-Order Kolmogorov-Smirnov Test Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas, Ryan J. Tibshirani

NeurIPS 2017 Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods Veeranjaneyulu Sadhanala, Yu-Xiang Wang, James L Sharpnack, Ryan J Tibshirani

AISTATS 2016 Graph Sparsification Approaches for Laplacian Smoothing Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Ryan J. Tibshirani

ICML 2016 Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms Yu-Xiang Wang, Veeranjaneyulu Sadhanala, Wei Dai, Willie Neiswanger, Suvrit Sra, Eric Xing

NeurIPS 2016 Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Ryan J Tibshirani