probabilistic modeling

Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods AAAI 2023 Approximate Stein Classes for Truncated Density Estimation ICML 2023 A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning IJCAI 2023 A theory of continuous generative flow networks ICML 2023 Attention as Implicit Structural Inference NeurIPS 2023 A unified framework for information-theoretic generalization bounds NeurIPS 2023 Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery AISTATS 2023 AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution AAAI 2023 Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process ICML 2023 Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends NeurIPS 2023 Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction AAAI 2023 CBD: A Certified Backdoor Detector Based on Local Dominant Probability NeurIPS 2023 Compressing Tabular Data via Latent Variable Estimation ICML 2023 Computing Divergences between Discrete Decomposable Models AAAI 2023 Concurrent Multi-Label Prediction in Event Streams AAAI 2023 Conditionally Strongly Log-Concave Generative Models ICML 2023 Contrastive Meta-Learning for Partially Observable Few-Shot Learning ICLR 2023 Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models NeurIPS 2023 Deep Stochastic Processes via Functional Markov Transition Operators NeurIPS 2023 Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling CVPR 2023 Deriving Language Models from Masked Language Models ACL 2023 Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023 Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo ACL 2023 Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions ICML 2023 Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics NeurIPS 2023