Veeranjaneyulu Sadhanala

According to our database, Veeranjaneyulu Sadhanala authored at least 11 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Hrayr Harutyunyan, Nikunj Saunshi, Zachary Nado, Rakesh Shivanna, Sashank J. Reddi, Aditya Krishna Menon, Rohan Anil, Sanjiv Kumar

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval.

Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar

CoRR, 2023

2021

Multivariate Trend Filtering for Lattice Data.

Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Addison J. Hu, Ryan J. Tibshirani

CoRR, 2021

2019

Nonparametric Methods with Total Variation Type Regularization.

Veeranjaneyulu Sadhanala

PhD thesis, 2019

A Higher-Order Kolmogorov-Smirnov Test.

Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas, Ryan J. Tibshirani

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods.

Veeranjaneyulu Sadhanala, Yu-Xiang Wang, James Sharpnack, Ryan J. Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers.

Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Ryan J. Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms.

Yu-Xiang Wang, Veeranjaneyulu Sadhanala, Wei Dai, Willie Neiswanger, Suvrit Sra, Eric P. Xing

Proceedings of the 33nd International Conference on Machine Learning, 2016

Graph Sparsification Approaches for Laplacian Smoothing.

Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Ryan J. Tibshirani

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2008

Scheduling of dataflow models within the Reconfigurable Video Coding framework.

Jani Boutellier, Veeranjaneyulu Sadhanala, Christophe Lucarz, Philip Brisk, Marco Mattavelli

Proceedings of the IEEE Workshop on Signal Processing Systems, 2008