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04/06/2023
Multi-Linear Kernel Regression and Imputation in Data Manifolds
This paper introduces an efficient multi-linear nonparametric (kernel-ba...
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02/17/2023
Fast Temporal Wavelet Graph Neural Networks
Spatio-temporal signals forecasting plays an important role in numerous ...
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02/27/2022
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming
We propose a framework, called neural-progressive hedging (NP), that lev...
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01/15/2021
Probabilistic Inference for Learning from Untrusted Sources
Federated learning brings potential benefits of faster learning, better ...
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06/01/2020
Variational Bayesian Inference for Crowdsourcing Predictions
Crowdsourcing has emerged as an effective means for performing a number ...
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04/09/2018
Policy Gradient With Value Function Approximation For Collective Multiagent Planning
Decentralized (PO)MDPs provide an expressive framework for sequential de...
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10/16/2012