Co-occurring keywords · papers mentioning both
Papers
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
ICML 2025
Fixed-Confidence Multiple Change Point Identification under Bandit Feedback
ICML 2025
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
ICML 2025
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
ICLR 2024
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees
AAAI 2020
Bayesian Dyadic Trees and Histograms for Regression
NeurIPS 2017
Collapsed variational Bayes for Markov jump processes
NeurIPS 2017
Online Optimization of Smoothed Piecewise Constant Functions
AISTATS 2017
Density Estimation via Discrepancy Based Adaptive Sequential Partition
NeurIPS 2016
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions
JMLR 2005