Co-occurring keywords · papers mentioning both
Papers
A Bayesian Approach to Data Point Selection
NeurIPS 2024
A Bayesian Approach to OOD Robustness in Image Classification
CVPR 2024
A Bayesian approach for bandit online optimization with switching cost
UAI 2023
A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints
AISTATS 2022
Offline Policy Selection under Uncertainty
AISTATS 2022
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
ICML 2022
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
CVPR 2021
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles
IJCAI 2020
Interpretable Models for Understanding Immersive Simulations
IJCAI 2020
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback
AAAI 2020
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification
AAAI 2019
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach
AAAI 2019
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning
ACL 2019
Representing Social Media Users for Sarcasm Detection
EMNLP 2018
Estimating Accuracy from Unlabeled Data: A Bayesian Approach
ICML 2016
Learning under uncertainty: a comparison between R-W and Bayesian approach
NeurIPS 2016
Policy Shaping: Integrating Human Feedback with Reinforcement Learning
NeurIPS 2013
Tractable Objectives for Robust Policy Optimization
NeurIPS 2012
Gaussian Process Preference Elicitation
NeurIPS 2010
Bayesian Belief Polarization
NeurIPS 2009
Interpreting the neural code with Formal Concept Analysis
NeurIPS 2008
A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes
JMLR 2005