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Probabilistic Modeling

2591 directly classified papers

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Papers

Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex AISTATS 2024
CROWD: Certified Robustness via Weight Distribution for Smoothed Classifiers against Backdoor Attack EMNLP 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024
Nonstationary Sparse Spectral Permanental Process NIPS 2024
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024
Streaming Bayes GFlowNets NIPS 2024
Learning to Embed Distributions via Maximum Kernel Entropy NIPS 2024
On cyclical MCMC sampling AISTATS 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NIPS 2024
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation NIPS 2024
Decomposing Constraint Networks for Calculating c-Representations AAAI 2024
Generative Flow Networks as Entropy-Regularized RL AISTATS 2024
Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness NIPS 2024
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NIPS 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024
Neural Conditional Probability for Uncertainty Quantification NIPS 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NIPS 2024
The Whole Is Bigger Than the Sum of Its Parts: Modeling Individual Annotators to Capture Emotional Variability INTERSPEECH 2024
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents AAAI 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NIPS 2024
Risk-sensitive control as inference with Rényi divergence NIPS 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? EMNLP 2024