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05/31/2023
Distributed Online Convex Optimization with Adversarial Constraints: Reduced Cumulative Constraint Violation Bounds under Slater's Condition
This paper considers distributed online convex optimization with adversa...
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01/05/2023
Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games
In this paper, we formulate inverse reinforcement learning (IRL) as an e...
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06/20/2022
Geo-NI: Geometry-aware Neural Interpolation for Light Field Rendering
In this paper, we present a Geometry-aware Neural Interpolation (Geo-NI)...
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06/09/2021
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
This paper considers online convex optimization with long term constrain...
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05/01/2021
Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization
This paper considers the distributed online convex optimization problem ...
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04/14/2021
Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network
The light field (LF) reconstruction is mainly confronted with two challe...
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03/24/2021
Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications
In this paper, a novel convolutional neural network (CNN)-based framewor...
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12/14/2020
Incremental Data-driven Optimization of Complex Systems in Nonstationary Environments
Existing work on data-driven optimization focuses on problems in static ...
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07/05/2020
Spatial-Angular Attention Network for Light Field Reconstruction
Learning-based light field reconstruction methods demand in constructing...
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02/17/2019