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06/25/2021
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization
Deep Neural Networks (DNNs), despite their tremendous success in recent ...
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02/07/2021
Meta-Learning with Neural Tangent Kernels
Model Agnostic Meta-Learning (MAML) has emerged as a standard framework ...
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08/13/2020
Consistent k-Median: Simpler, Better and Robust
In this paper we introduce and study the online consistent k-clustering ...
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05/16/2020
Graph Neural Networks with Composite Kernels
Learning on graph structured data has drawn increasing interest in recen...
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02/25/2020
The Power of Recourse: Better Algorithms for Facility Location in Online and Dynamic Models
In this paper we study the facility location problem in the online with ...
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07/26/2019