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Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization

Jul 27, 2020
Sauptik Dhar, Unmesh Kurup, Mohak Shah

* AutoML, Hyperparameter Optimization (HPO), Bi-Level Optimization, Alternating Direction Method of Multipliers (ADMM) 

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Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey

May 08, 2020
Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah


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Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning

Nov 06, 2019
Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

* Accepted at IEEE Big Data 2019 

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On-Device Machine Learning: An Algorithms and Learning Theory Perspective

Nov 02, 2019
Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

* Edge Learning, Resource Constrained Machine Learning, 36 pages survey 

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Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize

Oct 15, 2019
Youngsuk Park, Sauptik Dhar, Stephen Boyd, Mohak Shah


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Robust Neural Network Training using Periodic Sampling over Model Weights

May 14, 2019
Samarth Tripathi, Jiayi Liu, Unmesh Kurup, Mohak Shah


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Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving

Nov 27, 2018
Junyao Guo, Unmesh Kurup, Mohak Shah


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Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing

Sep 17, 2018
Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, Yantao Wei, José C. Príncipe

* 18 pages, 11 figures 

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Multiclass Universum SVM

Aug 23, 2018
Sauptik Dhar, Vladimir Cherkassky, Mohak Shah

* 33 pages. arXiv admin note: text overlap with arXiv:1609.09162 

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Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling

Jul 02, 2018
Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

* Accepted at UAI Workshop on Uncertainty in Deep Learning 

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Effective Building Block Design for Deep Convolutional Neural Networks using Search

Jan 25, 2018
Jayanta K Dutta, Jiayi Liu, Unmesh Kurup, Mohak Shah


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Deep Symbolic Representation Learning for Heterogeneous Time-series Classification

Dec 05, 2016
Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan, Mohak Shah


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Universum Learning for Multiclass SVM

Sep 29, 2016
Sauptik Dhar, Naveen Ramakrishnan, Vladimir Cherkassky, Mohak Shah

* 14 pages, 12 figures 

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Comparative Study of Deep Learning Software Frameworks

Mar 30, 2016
Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah

* Submitted to KDD 2016 with TensorFlow results added. At the time of submission to KDD, TensorFlow was available only with cuDNN v.2 and thus its performance is reported with that version 

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Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data

May 04, 2010
Mohak Shah, Mario Marchand, Jacques Corbeil


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