Venkata Krishna Pillutla

Reconstructing cancer drug response networks using multitask learning

Ziv Bar-Joseph, Matthew Ruffalo, Petar Stojanov, 2017, BMC Systems Biology.

Robust Aggregation for Federated Learning pdf

Zaïd Harchaoui, Sham M. Kakade, Venkata Krishna Pillutla, 2019, IEEE Transactions on Signal Processing.

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

Danai Koutra, Christos Faloutsos, Jie Tang, 2016, SDM.

A Smoother Way to Train Structured Prediction Models

Zaïd Harchaoui, Sham M. Kakade, Venkata Krishna Pillutla, 2019, NeurIPS.

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

Prateek Jain, Sham M. Kakade, Venkata Krishna Pillutla, 2017, FSTTCS.

37th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2017, December 11-15, 2017, Kanpur, India

Prateek Jain, Sham M. Kakade, Venkata Krishna Pillutla, 2018, FSTTCS.

Data Driven Resource Allocation for Distributed Learning pdf

Alexander J. Smola, Maria-Florina Balcan, Mu Li, 2015, AISTATS.