Summary of Overcoming Saturation in Density Ratio Estimation by Iterated Regularization, By Lukas Gruber et al.
Overcoming Saturation in Density Ratio Estimation by Iterated Regularizationby Lukas Gruber, Markus Holzleitner, Johannes Lehner,…
Overcoming Saturation in Density Ratio Estimation by Iterated Regularizationby Lukas Gruber, Markus Holzleitner, Johannes Lehner,…
Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approachby Yuchen Liang, Peizhong…
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplexby Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano, Ryoko…
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Loadby Siyang Li, Hui…
Bayesian Neural Networks with Domain Knowledge Priorsby Dylan Sam, Rattana Pukdee, Daniel P. Jeong, Yewon…
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positiveby Arka Pal, Deep Karkhanis, Samuel Dooley,…
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measuresby Paul Viallard, Rémi…
Improve Cross-Architecture Generalization on Dataset Distillationby Binglin Zhou, Linhao Zhong, Wentao ChenFirst submitted to arxiv…
Compact NSGA-II for Multi-objective Feature Selectionby Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian BidgoliFirst submitted…
Monte Carlo with kernel-based Gibbs measures: Guarantees for probabilistic herdingby Martin Rouault, Rémi Bardenet, Mylène…