ICML Poster "maximum likelihood estimation" Papers

9 papers found

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Paper Type

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Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise

Xi Chen, Zhewen Hou, Christopher Metzler et al.

ICML 2024posterarXiv:2402.15635

Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance

Xinyu Peng, Ziyang Zheng, Wenrui Dai et al.

ICML 2024posterarXiv:2402.02149

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting

Serina Chang, Frederic Koehler, Zhaonan Qu et al.

ICML 2024posterarXiv:2402.18697

Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?

Huy Nguyen, Pedram Akbarian, Nhat Ho

ICML 2024posterarXiv:2401.13875

Language Generation with Strictly Proper Scoring Rules

Chenze Shao, Fandong Meng, Yijin Liu et al.

ICML 2024posterarXiv:2405.18906

Momentum Particle Maximum Likelihood

Jen Ning Lim, Juan Kuntz, Samuel Power et al.

ICML 2024posterarXiv:2312.07335

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

Weixin Liang, Zachary Izzo, Yaohui Zhang et al.

ICML 2024posterarXiv:2403.07183

Scaling Laws for the Value of Individual Data Points in Machine Learning

Ian Covert, Wenlong Ji, Tatsunori Hashimoto et al.

ICML 2024posterarXiv:2405.20456

Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption

Chenlu Ye, Jiafan He, Quanquan Gu et al.

ICML 2024posterarXiv:2402.08991