3 papers
stat.ML2026
Acceleration of Diffusion Language Model through Discrete Average Generator
Yidong Ouyang, Zhengyan Wan, Themis Haris +8
Discrete diffusion models and flow matching have emerged as powerful frameworks for generative modeling over discrete state spaces, yet efficient few-step generation remains a fund…
cs.LG2026
Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift
Chenfeng Huang, Zixuan Ma, George Michailidis
Time series out-of-distribution generalization requires forecasters to remain reliable when deployment dynamics differ from training conditions due to covariate shift, concept shif…
cs.LG2026
PAC-Bayesian Meta-Learning for Few-Shot Identification of Linear Dynamical Systems
Chenfeng Huang, George Michailidis
Identifying linear time-invariant (LTI) dynamical systems is challenging when trajectories are short, noisy, or high-dimensional. Traditional system identification typically treats…