Scheduling of dataflow models within the Reconfigurable Video Coding framework. - Jani Boutellier; Veeranjaneyulu Sadhanala; Christophe Lucarz; Philip Brisk; Marco Mattavelli (SiPS, 2008)

Graph Sparsification Approaches for Laplacian Smoothing. - Veeranjaneyulu Sadhanala; Yu-Xiang Wang 003; Ryan J. Tibshirani (AISTATS, 2016)

Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms. - Yu-Xiang Wang 003; Veeranjaneyulu Sadhanala; Wei Dai 003; Willie Neiswanger; Suvrit Sra; Eric P. Xing (ICML, 2016)

Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers. - Veeranjaneyulu Sadhanala; Yu-Xiang Wang 003; Ryan J. Tibshirani (NIPS, 2016)

Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods. - Veeranjaneyulu Sadhanala; Yu-Xiang Wang 003; James Sharpnack; Ryan J. Tibshirani (NIPS, 2017)

A Higher-Order Kolmogorov-Smirnov Test. - Veeranjaneyulu Sadhanala; Yu-Xiang Wang 003; Aaditya Ramdas; Ryan J. Tibshirani (AISTATS, 2019)

Nonparametric Methods with Total Variation Type Regularization. - Veeranjaneyulu Sadhanala (2019)

Multivariate Trend Filtering for Lattice Data. - Veeranjaneyulu Sadhanala; Yu-Xiang Wang 003; Addison J. Hu; Ryan J. Tibshirani (CoRR, 2021)

EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval. - Seungyeon Kim 001; Ankit Singh Rawat; Manzil Zaheer; Sadeep Jayasumana; Veeranjaneyulu Sadhanala; Wittawat Jitkrittum; Aditya Krishna Menon; Rob Fergus; Sanjiv Kumar (CoRR, 2023)

USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval. - Seungyeon Kim 001; Ankit Singh Rawat; Manzil Zaheer; Wittawat Jitkrittum; Veeranjaneyulu Sadhanala; Sadeep Jayasumana; Aditya Krishna Menon; Rob Fergus; Sanjiv Kumar (ICML, 2024)

A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs. - Ankit Singh Rawat; Veeranjaneyulu Sadhanala; Afshin Rostamizadeh; Ayan Chakrabarti; Wittawat Jitkrittum; Vladimir Feinberg; Seungyeon Kim 001; Hrayr Harutyunyan; Nikunj Saunshi; Zachary Nado; Rakesh Shivanna; Sashank J. Reddi; et al. (CoRR, 2024)