Contextual Bandits in Payment Processing: Non-uniform Exploration and Supervised Learning at Adyenby Akhila Vangara, Alex…
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regressionby Tao Sun, Sander BohtéFirst submitted to…
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regressionby Abhinav…
Unleashing the Power of Data Synthesis in Visual Localizationby Sihang Li, Siqi Tan, Bowen Chang,…
Risk-Averse Certification of Bayesian Neural Networksby Xiyue Zhang, Zifan Wang, Yulong Gao, Licio Romao, Alessandro…
Nonparametric Instrumental Regression via Kernel Methods is Minimax Optimalby Dimitri Meunier, Zhu Li, Tim Christensen,…
An Adversarial Learning Approach to Irregular Time-Series Forecastingby Heejeong Nam, Jihyun Kim, Jimin YeomFirst submitted…
Aggregating Data for Optimal and Private Learningby Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan RaghuveerFirst…
Perception of Visual Content: Differences Between Humans and Foundation Modelsby Nardiena A. Pratama, Shaoyang Fan,…
Intrinsic Gaussian Process Regression Modeling for Manifold-valued Response Variableby Zhanfeng Wang, Xinyu Li, Hao Ding,…