Venkata Pillutla

According to our database, Venkata Pillutla authored at least 6 papers between 2016 and 2019.

Collaborative distances:

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

2019

Robust Aggregation for Federated Learning.

Venkata Krishna Pillutla, Sham M. Kakade, Zaïd Harchaoui

CoRR, 2019

2018

A Smoother Way to Train Structured Prediction Models.

Venkata Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Reconstructing cancer drug response networks using multitask learning.

Matthew Ruffalo, Petar Stojanov, Venkata Krishna Pillutla, Rohan Varma, Ziv Bar-Joseph

BMC Syst. Biol., 2017

A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares).

Prateek Jain, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli, Venkata Krishna Pillutla, Aaron Sidford

Proceedings of the 37th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2017

Data Driven Resource Allocation for Distributed Learning.

Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Maria-Florina Balcan, Alexander J. Smola

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries.

Venkata Krishna Pillutla, Zhanpeng Fang, Pravallika Devineni, Christos Faloutsos, Danai Koutra, Jie Tang

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016