Statistical Learning
Asynchronous Perception Machine for Efficient Test Time Training
We demonstrate APM's ability to recognize
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
Lagrangian approach, which involves adding a regularization term to the loss function.
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Estimating causal quantities from observational data is crucial for decision-making in medicine [9, 12, 22, 30, 70]. For example, medical practitioners are interested in estimating the effect of chemotherapy vs. immunotherapy on patient survival from electronic health records to understand the best treatment
Generalization Analysis for Label-Specific Representation Learning Yi-Fan Zhang
The existing theory bounds for multi-label learning, which preserve the coupling among different components, are invalid for LSRL.
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
The pre-trained point cloud model based on Masked Point Modeling (MPM) has exhibited substantial improvements across various tasks.
