conftrace_

random effect

11 papers

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Co-occurring keywords · papers mentioning both

deep neural network (3) mixed model (2) variational inference (2) mixed effects neural network (1) clustered data (1) inter-cluster variance (1) mobile health (1) fmri data (1) gaussian negative log-likelihood (1) correlated data (1)

Papers

Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals AISTATS 2025 Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods IJCAI 2024 Mixed-Effects Contextual Bandits AAAI 2024 ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use IJCAI 2024 Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) JMLR 2024 H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023 Integrating Random Effects in Deep Neural Networks JMLR 2023 Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks NeurIPS 2021 Streamlined Variational Inference with Higher Level Random Effects JMLR 2020 Hierarchical Dirichlet Processes with Random Effects NeurIPS 2006 Segmental Hidden Markov Models with Random Effects for Waveform Modeling JMLR 2006