2024 "maximum likelihood estimation" Papers
9 papers found
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 2024poster
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 2024poster
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