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04/24/2023
Renate: A Library for Real-World Continual Learning
Continual learning enables the incremental training of machine learning ...
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07/14/2022
PASHA: Efficient HPO with Progressive Resource Allocation
Hyperparameter optimization (HPO) and neural architecture search (NAS) a...
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06/28/2022
Continual Learning with Transformers for Image Classification
In many real-world scenarios, data to train machine learning models beco...
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03/28/2022
Gradient-Matching Coresets for Rehearsal-Based Continual Learning
The goal of continual learning (CL) is to efficiently update a machine l...
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03/09/2022
Memory Efficient Continual Learning for Neural Text Classification
Learning text classifiers based on pre-trained language models has becom...
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12/09/2021
Gradient-matching coresets for continual learning
We devise a coreset selection method based on the idea of gradient match...
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03/30/2021
A resource-efficient method for repeated HPO and NAS problems
In this work we consider the problem of repeated hyperparameter and neur...
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12/15/2020
Amazon SageMaker Autopilot: a white box AutoML solution at scale
AutoML systems provide a black-box solution to machine learning problems...
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04/28/2020
A Linear Bandit for Seasonal Environments
Contextual bandit algorithms are extremely popular and widely used in re...
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04/27/2020
Learning to Rank in the Position Based Model with Bandit Feedback
Personalization is a crucial aspect of many online experiences. In parti...
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07/05/2018
Contextual Bandits under Delayed Feedback
Delayed feedback is an ubiquitous problem in many industrial systems emp...
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08/06/2016
On Context-Dependent Clustering of Bandits
We investigate a novel cluster-of-bandit algorithm CAB for collaborative...
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01/31/2014
Online Clustering of Bandits
We introduce a novel algorithmic approach to content recommendation base...
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06/04/2013
A Gang of Bandits
Multi-armed bandit problems are receiving a great deal of attention beca...
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01/22/2013
Active Learning on Trees and Graphs
We investigate the problem of active learning on a given tree whose node...
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01/21/2013
A Correlation Clustering Approach to Link Classification in Signed Networks -- Full Version --
Motivated by social balance theory, we develop a theory of link classifi...
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01/21/2013
A Linear Time Active Learning Algorithm for Link Classification -- Full Version --
We present very efficient active learning algorithms for link classifica...
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12/21/2012