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08/01/2023
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems
The Traveling Salesman Problem (TSP) is a well-known problem in combinat...
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08/10/2022
KL-divergence Based Deep Learning for Discrete Time Model
Neural Network (Deep Learning) is a modern model in Artificial Intellige...
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03/29/2022
High-Dimensional Vector Autoregression with Common Response and Predictor Factors
Reinterpreting the reduced-rank vector autoregressive (VAR) model of ord...
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01/12/2021
High-Dimensional Low-Rank Tensor Autoregressive Time Series Modeling
Modern technological advances have enabled an unprecedented amount of st...
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07/18/2019
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
In this paper, we propose a regularized graph neural network (RGNN) for ...
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07/01/2019
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
Can we reduce the search cost of Neural Architecture Search (NAS) from d...
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02/12/2018
Efficient Empirical Risk Minimization with Smooth Loss Functions in Non-interactive Local Differential Privacy
In this paper, we study the Empirical Risk Minimization problem in the n...
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01/02/2018
