conftrace_

predictive performance

22 papers

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Co-occurring keywords

bayesian inference (1907) acquisition function (129) bayesian active learning (24) stochastic process (388) gaussian process (1200) variable selection (146) projection predictive inference (1) multilevel model (1) bald score (1) classification task (45)

Papers

Learning Fair Representations with Kolmogorov-Arnold Networks AAAI 2026
Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint) IJCAI 2025
Predicting Language Models’ Success at Zero-Shot Probabilistic Prediction EMNLP 2025
Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains WACV 2025
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NIPS 2024
From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions NIPS 2024
Prediction-Oriented Bayesian Active Learning AISTATS 2023
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models AISTATS 2022
Benchmarking Intersectional Biases in NLP NAACL 2022
Nonparametric Relational Models with Superrectangulation AISTATS 2022
Deep Combinatorial Aggregation NIPS 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
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution AISTATS 2019
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff AAAI 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
Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005