Publications

Recent works

• Semi-parametric Dynamic Contextual Pricing, Virag Shah, Jose Blanchet, Ramesh Johari, NeurIPS 2019, Vancouver, Canada.

• Bandit Learning with Positive Externalities, Virag Shah, Jose Blanchet, Ramesh Johari, accepted at NIPS (NeurIPS) 2018. Preliminary version presented at ICML Workshop on Causal ML, 2018.

• Optimal Testing in the Experiment-Rich Regime, Sven Schmit, Virag Shah, Ramesh Johari, accepted at AISTATS 2019. Preliminary version presented at ICML Workshop on Causal ML, 2018.

• Adaptive Matching for Expert Systems with Uncertain Task Types, Virag Shah, Lennart Gulikers, Laurent Massoulie, Milan Vojnovic, accepted at Operations Research, 2019. Preliminary version presented at Allerton Conference 2017

• Delay Comparison of Delivery and Coding Policies in Data Clusters, Virag Shah, Anne Bouillard, and Francois Baccelli, presented at Allerton Conference 2017.

Journal publications

• Adaptive Matching for Expert Systems with Uncertain Task Types, Virag Shah, Lennart Gulikers, Laurent Massoulie, Milan Vojnovic, accepted at Operations Research, 2019.

• Poly-Symmetry in Processor-Sharing Networks, Thomas Bonald, Celine Comte, Virag Shah, and Gustavo de Veciana, QUESTA, to appear, 2017.

• A Stable Approach for Routing Queries in Unstructured P2P Network, Virag Shah, Gustavo de Veciana and George Kesidis, IEEE/ACM Trans. on Networking (ToN), 24(5):3136–47 October 2016.

• Impact of Fairness and Heterogeneity on Delays in Large-scale Centralized Content Delivery Systems, Virag Shah and Gustavo de Veciana, QUESTA, 83(3): 361-397, August 2016.

• Asymptotic Independence of Servers’ Utilization in Queueing Systems with Limited Resource Pooling, Virag Shah and Gustavo de Veciana, QUESTA, 83(1):13-28, June 2016.

• High Performance Centralized Content Delivery Infrastructure: Models and Asymptotics, Virag Shah and Gustavo de Veciana,, IEEE/ACM Trans. on Networking (ToN) 23(5):1674–87, October 2015.

• Network Flows for Function Computation, Virag Shah, D. Manjunath, and Bikash K. Dey, IEEE Journal on Selected Areas in Communications (JSAC) Special Issue on In-Network Computation 31(4):714—730, April 2013.

Refereed conference publications

• Semi-parametric Dynamic Contextual Pricing, Virag Shah, Jose Blanchet, Ramesh Johari, NeurIPS 2019, Vancouver, Canada.

• Bandit Learning with Positive Externalities, Virag Shah, Jose Blanchet, Ramesh Johari, NIPS (NeurIPS) 2018, Montreal, Canada.

• Optimal Testing in the Experiment-Rich Regime, Sven Schmit, Virag Shah, Ramesh Johari, AISTATS 2019, Japan.

• On Impact of Fairness and Heterogeneity on Delays in Large-scale Content Delivery Networks, Virag Shah and Gustavo de Veciana, Sigmetrics 2015, Portland, Oregon.

• Performance Evaluation and Asymptotics for Content Delivery Networks, Virag Shah and Gustavo de Veciana, Infocom 2014, Toronto, Ontario, Canada. Best Paper Award

• Learning to Route Queries in Unstructured P2P Networks: Achieving Throughput Optimality Subject to Query Resolution Constraints, Virag Shah, Gustavo de Veciana, and George Kesidis, Infocom 2012, Orlando, Florida.

• Network Flows for Functions, Virag Shah, Bikash K. Dey, D. Manjunath, ISIT 2011, St. Petersburg, Russia.

PhD Thesis

• Centralized Content Delivery Infrastructure Exploiting Resource Pools: Performance Models and Asymptotics
  Advisor: Gustavo de Veciana. The University of Texas at Austin, August 2015.