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06/01/2023
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
Model-based reinforcement learning (RL) has shown great promise due to i...
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10/07/2021
Offline RL With Resource Constrained Online Deployment
Offline reinforcement learning is used to train policies in scenarios wh...
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05/04/2021
Representation Learning for Clustering via Building Consensus
In this paper, we focus on deep clustering and unsupervised representati...
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10/03/2020
Consensus Clustering with Unsupervised Representation Learning
Recent advances in deep clustering and unsupervised representation learn...
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08/17/2020
Zero Shot Domain Generalization
Standard supervised learning setting assumes that training data and test...
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03/18/2020
Self-Supervised Contextual Bandits in Computer Vision
Contextual bandits are a common problem faced by machine learning practi...
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02/18/2020
Data Transformation Insights in Self-supervision with Clustering Tasks
Self-supervision is key to extending use of deep learning for label scar...
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11/15/2019
Label-similarity Curriculum Learning
Curriculum learning can improve neural network training by guiding the o...
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05/24/2019
A Generalization Error Bound for Multi-class Domain Generalization
Domain generalization is the problem of assigning labels to an unlabeled...
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11/21/2017
Domain Generalization by Marginal Transfer Learning
Domain generalization is the problem of assigning class labels to an unl...
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05/24/2017
Multi-Task Learning for Contextual Bandits
Contextual bandits are a form of multi-armed bandit in which the agent h...
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07/18/2014
Extensions of stability selection using subsamples of observations and covariates
We introduce extensions of stability selection, a method to stabilise va...
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01/15/2014
Coordinate Descent with Online Adaptation of Coordinate Frequencies
Coordinate descent (CD) algorithms have become the method of choice for ...
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02/22/2013