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Papers
Posterior and Variational Inference for Deep Neural Networks with Heavy-Tailed Weights
JMLR 2025
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms
AISTATS 2025
The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation
ICCV 2025
The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions
CLeaR 2025
Variational Bayesian Pseudo-Coreset
ICLR 2025
Variational Phylogenetic Inference with Products over Bipartitions
ICML 2025
VITS : Variational Inference Thompson Sampling for contextual bandits
ICML 2024
A Generalized Bayesian Approach to Distribution-on-Distribution Regression
UAI 2024
A Hierarchical Bayesian Model for Few-Shot Meta Learning
ICLR 2024
Amortizing intractable inference in large language models
ICLR 2024
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift
AISTATS 2024
A Variational Perspective on Solving Inverse Problems with Diffusion Models
ICLR 2024
Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures
ICLR 2024
Better-than-KL PAC-Bayes Bounds
COLT 2024
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support
AISTATS 2024
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
ICML 2024
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities
ICLR 2024
Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions
AAAI 2024
Direct Amortized Likelihood Ratio Estimation
AAAI 2024
Estimation of partially known Gaussian graphical models with score-based structural priors
AISTATS 2024
Generalized Variational Inference via Optimal Transport
AAAI 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
NeurIPS 2024
Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing
ICML 2024
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
NeurIPS 2024
Kermut: Composite kernel regression for protein variant effects
NeurIPS 2024