conftrace_

stochastic inference

11 papers

Explore in graph

Co-occurring keywords · papers mentioning both

variational inference (3) posterior inference (2) semantic segmentation (2) approximate posterior (1) stochastic depth (1) minibatch selection (1) online hyperparameter (1) multivariate optimization (1) localization map (1) large language model (1)

Papers

Language-Based Bayesian Optimization Research Assistant (BORA) IJCAI 2025 Neuralized Markov Random Field for Interaction-Aware Stochastic Human Trajectory Prediction ICLR 2025 Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers ICML 2024 FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference CVPR 2019 Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019 Doubly Stochastic Variational Inference for Deep Gaussian Processes NeurIPS 2017 A Bayesian Nonparametric Approach for Multi-label Classification ACML 2016 Learning Structured Output Representation using Deep Conditional Generative Models NeurIPS 2015 A Compilation Target for Probabilistic Programming Languages ICML 2014 Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices ICML 2014 Scalable Inference of Overlapping Communities NeurIPS 2012