predictive performance

Benchmarking Intersectional Biases in NLP NAACL 2022 Deep Combinatorial Aggregation NeurIPS 2022 Nonparametric Relational Models with Superrectangulation AISTATS 2022 Projection Predictive Inference for Generalized Linear and Additive Multilevel Models AISTATS 2022 Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract) IJCAI 2021 Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data AISTATS 2020 Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff AAAI 2019 Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution AISTATS 2019 Generalization-Aware Structured Regression towards Balancing Bias and Variance IJCAI 2018 Regularising Non-linear Models Using Feature Side-information ICML 2017 Loss Bounds and Time Complexity for Speed Priors AISTATS 2016 Ensembles for Time Series Forecasting ACML 2014 Sharp analysis of low-rank kernel matrix approximations COLT 2013 Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005