Bayesian & Probabilistic

The Whole Is Bigger Than the Sum of Its Parts: Modeling Individual Annotators to Capture Emotional Variability Interspeech 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024 Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NeurIPS 2024 Thompson Sampling Itself is Differentially Private AISTATS 2024 Tight Verification of Probabilistic Robustness in Bayesian Neural Networks AISTATS 2024 Time–Approximation Trade-Offs for Learning Bayesian Networks PGM 2024 Toward Conditional Distribution Calibration in Survival Prediction NeurIPS 2024 Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents COLING 2024 Towards safe multi-task Bayesian optimization L4DC 2024 Towards Scalable Bayesian Transformers: Investigating stochastic subset selection for NLP UAI 2024 Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms ICML 2024 Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks ICLR 2024 Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) JMLR 2024 Transformers Represent Belief State Geometry in their Residual Stream NeurIPS 2024 Transition Constrained Bayesian Optimization via Markov Decision Processes NeurIPS 2024 TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NeurIPS 2024 Trusted Multi-view Learning with Label Noise IJCAI 2024 Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions MIDL 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results AISTATS 2024 Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution AAAI 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024 Uncertainty quantification of set-membership estimation in control and perception: Revisiting the minimum enclosing ellipsoid L4DC 2024 Uncertainty Quantification via Stable Distribution Propagation ICLR 2024 Using Autodiff to Estimate Posterior Moments, Marginals and Samples UAI 2024