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Bayesian Inference

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Papers

Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024
Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds AISTATS 2024
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024
On cyclical MCMC sampling AISTATS 2024
Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024
Efficient Variational Sequential Information Control AISTATS 2024
An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024
Simulation-Based Stacking AISTATS 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference AISTATS 2024
Coreset Markov chain Monte Carlo AISTATS 2024
Fast Fourier Bayesian Quadrature AISTATS 2024
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024
Differentially Private Reward Estimation with Preference Feedback AISTATS 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks AISTATS 2024
Calibrating LLM-Based Evaluator COLING 2024
Continuous Relational Diffusion Driven Topic Model with Multi-grained Text for Microblog COLING 2024
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding COLING 2024
Few-shot Temporal Pruning Accelerates Diffusion Models for Text Generation COLING 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis COLING 2024