online inference

Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models JMLR 2026 Dual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuition CVPR 2026 Online Student-t Processes with an Overall-local Scale Structure for Modelling Non-stationary Data AISTATS 2025 BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition ICML 2024 Inference on High-dimensional Single-index Models with Streaming Data JMLR 2024 StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction WACV 2024 Continual Transformers: Redundancy-Free Attention for Online Inference ICLR 2023 Differentiable user models UAI 2023 A Statistical Online Inference Approach in Averaged Stochastic Approximation NeurIPS 2022 Efficient Online Bayesian Inference for Neural Bandits AISTATS 2022 Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling AAAI 2022 Goal Recognition as Reinforcement Learning AAAI 2022 INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation CVPR 2022 Online Neural Coreference Resolution with Rollback COLING 2022 Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data AISTATS 2022 Statistical Estimation and Online Inference via Local SGD COLT 2022 Streaming Inference for Infinite Feature Models ICML 2022 A Lightweight Framework for Online Voice Activity Detection in the Wild Interspeech 2021 Context-Aware Online Collective Inference for Templated Graphical Models ICML 2021 Efficient online inference for nonparametric mixture models UAI 2021 Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding ACL 2021 Bayesian Online Prediction of Change Points UAI 2020 TSM: Temporal Shift Module for Efficient Video Understanding ICCV 2019 Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling JMLR 2017 Gaussian Process Volatility Model NeurIPS 2014