Veeranjaneyulu Sadhanala

12 papers A* 2A 2Journal 4Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs. CoRR Ankit Singh Rawat, Veeranjaneyulu Sadhanala, Afshin Rostamizadeh, Ayan Chakrabarti, Wittawat Jitkrittum, Vladimir Feinberg, Seungyeon Kim, Hrayr Harutyunyan, Nikunj Saunshi, Zachary Nado, Rakesh Shivanna, Sashank J. Reddi, Aditya Krishna Menon, Rohan Anil, Sanjiv Kumar
2024	A*	`conf`	USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval. ICML Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
2023	J	`jnl`	EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval. CoRR Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
2021	J	`jnl`	Multivariate Trend Filtering for Lattice Data. CoRR Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Addison J. Hu, Ryan J. Tibshirani
2019	A	`conf`	A Higher-Order Kolmogorov-Smirnov Test. AISTATS Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas, Ryan J. Tibshirani
2019	J	`jnl`	A Higher-Order Kolmogorov-Smirnov Test. CoRR Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas, Ryan J. Tibshirani
2019	—	`—`	Nonparametric Methods with Total Variation Type Regularization. Veeranjaneyulu Sadhanala
2017	—	`conf`	Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods. NIPS Veeranjaneyulu Sadhanala, Yu-Xiang Wang, James Sharpnack, Ryan J. Tibshirani
2016	A	`conf`	Graph Sparsification Approaches for Laplacian Smoothing. AISTATS Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Ryan J. Tibshirani
2016	A*	`conf`	Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms. ICML Yu-Xiang Wang, Veeranjaneyulu Sadhanala, Wei Dai, Willie Neiswanger, Suvrit Sra, Eric P. Xing
2016	—	`conf`	Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers. NIPS Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Ryan J. Tibshirani
2008	—	`conf`	Scheduling of dataflow models within the Reconfigurable Video Coding framework. SiPS Jani Boutellier, Veeranjaneyulu Sadhanala, Christophe Lucarz, Philip Brisk, Marco Mattavelli