Probabilistic Modeling

Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024 Convergence Behavior of an Adversarial Weak Supervision Method UAI 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 Credal Learning Theory NeurIPS 2024 Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024 Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions AAAI 2024 Debiasing Synthetic Data Generated by Deep Generative Models NeurIPS 2024 Decomposable Transformer Point Processes NeurIPS 2024 Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees AAAI 2024 Detecting and Measuring Confounding Using Causal Mechanism Shifts NeurIPS 2024 Differentially Private Data Release for Mixed-type Data via Latent Factor Models JMLR 2024 Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization ICLR 2024 Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NeurIPS 2024 Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions UAI 2024 Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation AAAI 2024 Diversified and Personalized Multi-rater Medical Image Segmentation CVPR 2024 DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions EMNLP 2024 Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NeurIPS 2024 Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning NeurIPS 2024 Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations EACL 2024 Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling NeurIPS 2024 Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024 Dynamic Conditional Optimal Transport through Simulation-Free Flows NeurIPS 2024 Early-Exit Neural Networks with Nested Prediction Sets UAI 2024 Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024