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probabilistic regression

10 papers

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Co-occurring keywords · papers mentioning both

variational inference (3) neural process (2) uncertainty estimation (2) outlier robustness (2) label noise (2) gaussian process (2) uncertainty quantification (2) bayesian inference (2) mixture density network (1) predictive uncertainty (1)

Papers

IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NeurIPS 2024 Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation ICLR 2023 Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models NeurIPS 2023 Learning Proposals for Practical Energy-Based Regression AISTATS 2022 Bayesian Context Aggregation for Neural Processes ICLR 2021 Deep Sigma Point Processes UAI 2020 Probabilistic Regression for Visual Tracking CVPR 2020 Attentive Neural Processes ICLR 2019 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012