Statistical Learning
Kernelized Heterogeneous Risk Minimization
To ensure the OOD generalization ability, invariant learning methods assume the existence of the causally invariant correlations and exploit them through given environments, which makes their performances heavily dependent on the quality of environments.
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement Y an Li, Xinjiang Lu
Time series forecasting has been a widely explored task of great importance in many applications.
Iterative Teaching by Label Synthesis
In this paper, we consider the problem of iterative machine teaching, where a teacher provides examples sequentially based on the current iterative learner.
Learning Linear Programs from Optimal Decisions Yingcong Tan
Linear programs are often specified by hand, using prior knowledge of relevant costs and constraints.
A Supplemental Material
A.1 Diagonal State Spaces We restate Proposition 1 for convenience. Equation 4 we have K " p Ce (Equation 7). This proves part (a) and we now consider part (b). (Equation 7). " 0 and hence softmax p0, iπq is not defined.
