bayesian learning

AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing AAAI 2026 Counting and Sampling Subsets Using Block Covers UAI 2026 Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving AAAI 2026 py/cuTAGI: An Open-Source Library for Tractable Approximate Gaussian Inference in Bayesian Neural Networks JMLR 2026 A Bayesian account of pronoun and neopronoun acquisition NAACL 2025 Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025 Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits AAAI 2025 Cross-Framework Generalizable Discourse Relation Classification Through Cognitive Dimensions NAACL 2025 EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR IJCAI 2025 Hypernetwork Approach to Bayesian MAML (Student Abstract) AAAI 2025 Learning with Confidence UAI 2025 Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective AAAI 2025 On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework COLING 2025 Replication-proof Bandit Mechanism Design with Bayesian Agents AAAI 2025 Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian Learning L4DC 2025 Scalable Bayesian Learning with posteriors ICLR 2025 A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024 A Unified and General Framework for Continual Learning ICLR 2024 Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NeurIPS 2024 Bayesian Online Learning for Consensus Prediction AISTATS 2024 Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NeurIPS 2024 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NeurIPS 2024 Block Sparse Bayesian Learning: A Diversified Scheme NeurIPS 2024 Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers NeurIPS 2024 Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024