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06/25/2023
Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms
We study joint learning of network topology and a mixed opinion dynamics...
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10/04/2022
Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems
The design of Luenberger observers for nonlinear systems involves state ...
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01/23/2021
Hierarchical Domain Invariant Variational Auto-Encoding with weak domain supervision
We address the task of domain generalization, where the goal is to train...
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12/16/2020
More Industry-friendly: Federated Learning with High Efficient Design
Although many achievements have been made since Google threw out the par...
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11/18/2019
Benchmarking time series classification – Functional data vs machine learning approaches
Time series classification problems have drawn increasing attention in t...
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08/25/2019
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning
Probabilistic Graphical Modeling and Variational Inference play an impor...
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06/07/2019
Resampling-based Assessment of Robustness to Distribution Shift for Deep Neural Networks
A novel resampling framework is proposed to evaluate the robustness and ...
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05/21/2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
In Multi-Goal Reinforcement Learning, an agent learns to achieve multipl...
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04/10/2019
ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning
Machine learning pipeline potentially consists of several stages of oper...
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02/24/2019
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions
A novel machine learning optimization process coined Restrictive Federat...
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01/28/2017