bayesian inference

Bias Amplification in Language Model Evolution: An Iterated Learning Perspective NeurIPS 2024 Bias Detection via Signaling NeurIPS 2024 Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments IJCAI 2024 Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box JMLR 2024 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NeurIPS 2024 BMRS: Bayesian Model Reduction for Structured Pruning NeurIPS 2024 Bootstrap Your Conversions: Thompson Sampling for Partially Observable Delayed Rewards UAI 2024 Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024 CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation AAAI 2024 COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits ICLR 2024 Confidence Estimation for Automatic Detection of Depression and Alzheimer’s Disease Based on Clinical Interviews Interspeech 2024 Conjugate Bayesian Two-step Change Point Detection for Hawkes Process NeurIPS 2024 Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? ICML 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation NeurIPS 2024 Coreset Markov chain Monte Carlo AISTATS 2024 Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024 Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions AAAI 2024 Differentially private methods for managing model uncertainty in linear regression JMLR 2024 Diffusion Models are Certifiably Robust Classifiers NeurIPS 2024 Diffusion Models With Learned Adaptive Noise NeurIPS 2024 Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024 Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NeurIPS 2024 Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning NeurIPS 2024