Venkata Krishna Pillutla

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 9

Top Topics

Combinatorial Auctions

Structured Prediction

Distributed Learning

Resource Allocation

Top Venues

Publications

Venkata Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui
A Smoother Way to Train Structured Prediction Models. CoRR (2019)
Venkata Krishna Pillutla, Sham M. Kakade, Zaïd Harchaoui
Robust Aggregation for Federated Learning. CoRR (2019)
Venkata Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui
A Smoother Way to Train Structured Prediction Models. NeurIPS (2018)
Matthew Ruffalo, Petar Stojanov, Venkata Krishna Pillutla, Rohan Varma, Ziv Bar-Joseph
Reconstructing cancer drug response networks using multitask learning. BMC Syst. Biol. 11 (1) (2017)
Prateek Jain, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli, Venkata Krishna Pillutla, Aaron Sidford
A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares). FSTTCS (2017)
Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Maria-Florina Balcan, Alexander J. Smola
Data Driven Resource Allocation for Distributed Learning. AAAI Workshops (2017)
Prateek Jain, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli, Venkata Krishna Pillutla, Aaron Sidford
A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares). CoRR (2017)
Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Nina Balcan, Alexander J. Smola
Data Driven Resource Allocation for Distributed Learning. AISTATS (2017)
Venkata Krishna Pillutla, Zhanpeng Fang, Pravallika Devineni, Christos Faloutsos, Danai Koutra, Jie Tang
On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries. SDM (2016)
Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Maria-Florina Balcan, Alexander J. Smola
Data Driven Resource Allocation for Distributed Learning. CoRR (2015)