On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries. - Venkata Krishna Pillutla; Zhanpeng Fang; Pravallika Devineni; Christos Faloutsos; Danai Koutra; Jie Tang 001 (SDM, 2016)

Data Driven Resource Allocation for Distributed Learning. - Travis Dick; Mu Li 003; Venkata Krishna Pillutla; Colin White; Maria-Florina Balcan; Alexander J. Smola (AAAI Workshops, 2017)

A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares). - Prateek Jain 002; Sham M. Kakade; Rahul Kidambi; Praneeth Netrapalli; Venkata Krishna Pillutla; Aaron Sidford (FSTTCS, 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 Smoother Way to Train Structured Prediction Models. - Venkata Krishna Pillutla; Vincent Roulet; Sham M. Kakade; Zaïd Harchaoui (NeurIPS, 2018)

Robust Aggregation for Federated Learning. - Venkata Krishna Pillutla; Sham M. Kakade; Zaïd Harchaoui (CoRR, 2019)