Statistical Learning
A V-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis Susan Liang 1 Chao Huang
This consistency ensures perceptual realism and immersion, enriching the overall user experience.
Preference Based Adaptation for Learning Objectives
Neural Information Processing Systems http://nips.cc/
Optimized Covariance Design for AB Test on Social Network under Interference Qianyi Chen
Online A/B tests have become increasingly popular and important for social platforms.
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport
In this paper, we propose a DRO framework that relies on a new distance inspired by Unbalanced Optimal Transport (UOT).
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
Yiqi Zhong, Cho-Ying Wu, Suya You, Ulrich Neumann
Neural Information Processing Systems http://nips.cc/
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
Minshuo Chen, Lin Yang, Mengdi Wang, Tuo Zhao
Neural Information Processing Systems http://nips.cc/
Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
Each voxel in a diffusion MRI (dMRI) image contains a spherical signal corresponding to the direction and strength of water diffusion in the brain.
Using Statisticsto Automate Stochastic Optimization
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