2024 Poster "bayesian inference" Papers

7 papers found

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Conference

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Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification

Luyang Fang, Yongkai Chen, Wenxuan Zhong et al.

ICML 2024poster

Diffusive Gibbs Sampling

Wenlin Chen, Mingtian Zhang, Brooks Paige et al.

ICML 2024poster

Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Fabian Falck, Ziyu Wang, Christopher Holmes

ICML 2024poster

Kernel Semi-Implicit Variational Inference

Ziheng Cheng, Longlin Yu, Tianyu Xie et al.

ICML 2024poster

Listening to the noise: Blind Denoising with Gibbs Diffusion

David Heurtel-Depeiges, Charles Margossian, Ruben Ohana et al.

ICML 2024poster

Logistic Variational Bayes Revisited

Michael Komodromos, Marina Evangelou, Sarah Filippi

ICML 2024poster

Path-Guided Particle-based Sampling

Mingzhou Fan, Ruida Zhou, Chao Tian et al.

ICML 2024poster