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AutoAI-TS: AutoAI for Time Series Forecasting

Mar 08, 2021
Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculin, Petros Zerfos

* Accepted for publication at ACM SIGMOD 2021 Industry Track 

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Efficient Encrypted Inference on Ensembles of Decision Trees

Mar 05, 2021
Kanthi Sarpatwar, Karthik Nandakumar, Nalini Ratha, James Rayfield, Karthikeyan Shanmugam, Sharath Pankanti, Roman Vaculin

* 9 pages, 6 figures 

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Differentially Private Distributed Data Summarization under Covariate Shift

Oct 28, 2019
Kanthi Sarpatwar, Karthikeyan Shanmugam, Venkata Sitaramagiridharganesh Ganapavarapu, Ashish Jagmohan, Roman Vaculin

* To appear in the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach

Sep 22, 2018
Ravi Kiran Raman, Roman Vaculin, Michael Hind, Sekou L. Remy, Eleftheria K. Pissadaki, Nelson Kibichii Bore, Roozbeh Daneshvar, Biplav Srivastava, Kush R. Varshney

* 16 pages, 8 figures 

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Similarity Preserving Representation Learning for Time Series Analysis

Mar 09, 2017
Qi Lei, Jinfeng Yi, Roman Vaculin, Lingfei Wu, Inderjit S. Dhillon

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