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Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples

Sep 29, 2020
Jaehoon Koo, Diego Klabjan, Jean Utke


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Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms

Sep 20, 2020
Mengfan Xu, Diego Klabjan

* 20 pages, 8 figures 

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Efficient Architecture Search for Continual Learning

Jun 09, 2020
Qiang Gao, Zhipeng Luo, Diego Klabjan

* 12 pages, 11 figures 

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Open-Set Recognition with Gaussian Mixture Variational Autoencoders

Jun 03, 2020
Alexander Cao, Yuan Luo, Diego Klabjan

* 12 pages including 8 figures and 4 tables, plus 6 pages of supplementary material 

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Neural Network Retraining for Model Serving

Apr 29, 2020
Diego Klabjan, Xiaofeng Zhu


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The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent

Apr 27, 2020
Xin Qian, Diego Klabjan


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Listwise Learning to Rank by Exploring Unique Ratings

Jan 23, 2020
Xiaofeng Zhu, Diego Klabjan

* WSDM 2020 

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Keyword-based Topic Modeling and Keyword Selection

Jan 22, 2020
Xingyu Wang, Lida Zhang, Diego Klabjan


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Conditional Hierarchical Bayesian Tucker Decomposition

Dec 12, 2019
Adam Sandler, Diego Klabjan, Yuan Luo

* 20 pages, added model evaluation and log-likelihood sections 

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Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension

Aug 20, 2019
Ye Xue, Diego Klabjan, Yuan Luo


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Mixture-based Multiple Imputation Models for Clinical Data with a Temporal Dimension

Aug 12, 2019
Ye Xue, Diego Klabjan, Yuan Luo


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Data Extraction from Charts via Single Deep Neural Network

Jun 06, 2019
Xiaoyi Liu, Diego Klabjan, Patrick NBless


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Dynamic Cell Structure via Recursive-Recurrent Neural Networks

May 25, 2019
Xin Qian, Matthew Kennedy, Diego Klabjan


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Scale Invariant Power Iteration

May 23, 2019
Cheolmin Kim, Youngseok Kim, Diego Klabjan


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Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network

May 22, 2019
Biyi Fang, Diego Klabjan


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Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data

Mar 07, 2019
Yiming Xu, Dnyanesh Rajpathak, Ian Gibbs, Diego Klabjan


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Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences

Jan 15, 2019
Stephanie Ger, Diego Klabjan


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Layer Flexible Adaptive Computational Time for Recurrent Neural Networks

Dec 14, 2018
Lida Zhang, Diego Klabjan


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Combined convolutional and recurrent neural networks for hierarchical classification of images

Oct 03, 2018
Jaehoon Koo, Diego Klabjan, Jean Utke


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Unified recurrent neural network for many feature types

Sep 24, 2018
Alexander Stec, Diego Klabjan, Jean Utke


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Nested multi-instance classification

Aug 30, 2018
Alexander Stec, Diego Klabjan, Jean Utke


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Dynamic Prediction Length for Time Series with Sequence to Sequence Networks

Jul 02, 2018
Mark Harmon, Diego Klabjan


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Online Adaptive Machine Learning Based Algorithm for Implied Volatility Surface Modeling

Jun 07, 2018
Yaxiong Zeng, Diego Klabjan

* 34 Pages 

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Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations

Jun 05, 2018
Xingyu Wang, Diego Klabjan

* 31 pages, to be presented at ICML 2018 

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Forecasting Crime with Deep Learning

Jun 05, 2018
Alexander Stec, Diego Klabjan


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