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02/23/2023
Sequential Counterfactual Risk Minimization
Counterfactual Risk Minimization (CRM) is a framework for dealing with t...
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10/05/2022
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features
In brain signal processing, deep learning (DL) models have become common...
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09/08/2022
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance
In brain-computer interfaces (BCI) research, recording data is time-cons...
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06/19/2022
Nested bandits
In many online decision processes, the optimizing agent is called to cho...
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02/11/2022
Efficient Kernel UCB for Contextual Bandits
In this paper, we tackle the computational efficiency of kernelized UCB ...
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10/05/2021
Decoding ECoG signal into 3D hand translation using deep learning
Motor brain-computer interfaces (BCIs) are a promising technology that m...
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09/13/2021
Zeroth-order non-convex learning via hierarchical dual averaging
We propose a hierarchical version of dual averaging for zeroth-order onl...
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12/05/2020
Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN
Preterm neonates are highly likely to suffer from ventriculomegaly, a di...
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10/16/2020
Online non-convex optimization with imperfect feedback
We consider the problem of online learning with non-convex losses. In te...
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08/07/2020
Individual Treatment Effect Estimation in a Low Compliance Setting
Individual Treatment Effect (ITE) estimation is an extensively researche...
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04/22/2020