Probabilistic Modeling

Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023 Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition JMLR 2023 Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization NeurIPS 2023 Knowledge Intensive Learning of Cutset Networks UAI 2023 Latent State Marginalization as a Low-cost Approach for Improving Exploration ICLR 2023 L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference NeurIPS 2023 Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks ICLR 2023 Learning a Depth Covariance Function CVPR 2023 Learning Analytical Posterior Probability for Human Mesh Recovery CVPR 2023 Learning-augmented count-min sketches via Bayesian nonparametrics JMLR 2023 Learning Causal Models under Independent Changes NeurIPS 2023 Learning Choice Functions with Gaussian Processes UAI 2023 Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases IJCAI 2023 Learning Energy-based Model via Dual-MCMC Teaching NeurIPS 2023 Learning Hierarchical Features with Joint Latent Space Energy-Based Prior ICCV 2023 Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation ICML 2023 Learning Procedure-Aware Video Representation From Instructional Videos and Their Narrations CVPR 2023 Learning Rate Free Sampling in Constrained Domains NeurIPS 2023 Learning Robust Statistics for Simulation-based Inference under Model Misspecification NeurIPS 2023 Learning Unnormalized Statistical Models via Compositional Optimization ICML 2023 Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision AISTATS 2023 Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression NeurIPS 2023 Lifted Inference with Linear Order Axiom AAAI 2023 Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains ICML 2023 Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution CVPR 2023