Bayesian Inference

Vector-Valued Control Variates ICML 2023 VIBE: Topic-Driven Temporal Adaptation for Twitter Classification EMNLP 2023 Video Probabilistic Diffusion Models in Projected Latent Space CVPR 2023 Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information ACL 2023 VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning NeurIPS 2023 VRA: Variational Rectified Activation for Out-of-distribution Detection NeurIPS 2023 Weibull Racing Survival Analysis with Competing Events, Left Truncation, and Time-Varying Covariates JMLR 2023 “Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization NeurIPS 2023 Wide stochastic networks: Gaussian limit and PAC-Bayesian training ALT 2023 Width and Depth Limits Commute in Residual Networks ICML 2023 Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models ICCV 2023 Wing shape estimation with Extended Kalman filtering and KalmanNet neural network of a flexible wing aircraft L4DC 2023 πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization ICLR 2022 A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints AISTATS 2022 A Bayesian Model for Online Activity Sample Sizes AISTATS 2022 Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders ICML 2022 Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022 A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One JMLR 2022 A Complete Characterisation of ReLU-Invariant Distributions AISTATS 2022 A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation ICML 2022 A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1 ICML 2022 Active Bayesian Causal Inference NeurIPS 2022 ActPerFL: Active Personalized Federated Learning ACL 2022 Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022 Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks NeurIPS 2022