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05/23/2023
Federated Variational Inference: Towards Improved Personalization and Generalization
Conventional federated learning algorithms train a single global model b...
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11/04/2022
BERT for Long Documents: A Case Study of Automated ICD Coding
Transformer models have achieved great success across many NLP problems....
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09/30/2022
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets
Dual encoding models that encode a pair of inputs are widely used for re...
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11/05/2021
An Empirical Study of Neural Kernel Bandits
Neural bandits have enabled practitioners to operate efficiently on prob...
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11/12/2020
Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization
Neural combinatorial optimization (NCO) aims at designing problem-indepe...
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05/01/2012
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning
We consider the problem of simultaneously learning to linearly combine a...
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12/20/2011