"maximum likelihood estimation" Papers
15 papers found
Conference
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Yuhan Chen, Yihong Luo, Yifan Song et al.
ICLR 2025arXiv:2502.17912
6
citations
Joint Learning of Energy-based Models and their Partition Function
Michael Sander, Vincent Roulet, Tianlin Liu et al.
ICML 2025arXiv:2501.18528
3
citations
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
Zhiyong Wang, Dongruo Zhou, John C.S. Lui et al.
ICLR 2025arXiv:2408.08994
10
citations
Private Statistical Estimation via Truncation
Manolis Zampetakis, Felix Zhou
NEURIPS 2025arXiv:2505.12541
Sample Complexity of Branch-length Estimation by Maximum Likelihood
David Clancy, Hanbaek Lyu, Sebastien Roch
ICML 2025arXiv:2507.22038
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
Thibault de Surrel, Fabien Lotte, Sylvain Chevallier et al.
ICML 2025arXiv:2502.01512
3
citations
Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
Xi Chen, Zhewen Hou, Christopher Metzler et al.
ICML 2024arXiv:2402.15635
7
citations
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
Xinyu Peng, Ziyang Zheng, Wenrui Dai et al.
ICML 2024arXiv:2402.02149
41
citations
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
Serina Chang, Frederic Koehler, Zhaonan Qu et al.
ICML 2024arXiv:2402.18697
3
citations
Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
Huy Nguyen, Pedram Akbarian, Nhat Ho
ICML 2024arXiv:2401.13875
20
citations
Language Generation with Strictly Proper Scoring Rules
Chenze Shao, Fandong Meng, Yijin Liu et al.
ICML 2024arXiv:2405.18906
7
citations
Momentum Particle Maximum Likelihood
Jen Ning Lim, Juan Kuntz, Samuel Power et al.
ICML 2024arXiv:2312.07335
12
citations
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 2024arXiv:2403.07183
183
citations
Scaling Laws for the Value of Individual Data Points in Machine Learning
Ian Covert, Wenlong Ji, Tatsunori Hashimoto et al.
ICML 2024arXiv:2405.20456
11
citations
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
Chenlu Ye, Jiafan He, Quanquan Gu et al.
ICML 2024arXiv:2402.08991
10
citations