Bayesian Inference

Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics IJCAI 2024 Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation EMNLP 2024 Targeted Sequential Indirect Experiment Design NeurIPS 2024 TEA: Test-time Energy Adaptation CVPR 2024 Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the “right reasons”? ACL 2024 Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024 The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NeurIPS 2024 The Causal Impact of Credit Lines on Spending Distributions AAAI 2024 The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof NeurIPS 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024 Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians ICML 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024 The Role of Learning Algorithms in Collective Action ICML 2024 Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024 Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts CVPR 2024 Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NeurIPS 2024 Tight Verification of Probabilistic Robustness in Bayesian Neural Networks AISTATS 2024 To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NeurIPS 2024 Total Variation Distance Meets Probabilistic Inference ICML 2024 Toward In-Context Teaching: Adapting Examples to Students’ Misconceptions ACL 2024 Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components ICML 2024 Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract) IJCAI 2024 Towards Offline Opponent Modeling with In-context Learning ICLR 2024 Training Bayesian Neural Networks with Sparse Subspace Variational Inference ICLR 2024