19 Results

Poster	Thu 14:00	Robust Generalized Method of Moments: A Finite Sample Viewpoint Dhruv Rohatgi · Vasilis Syrgkanis
Poster	Wed 9:00	Deep Learning Methods for Proximal Inference via Maximum Moment Restriction Benjamin Kompa · David Bellamy · Tom Kolokotrones · james m robins · Andrew Beam
Poster	Thu 9:00	Tractable Optimality in Episodic Latent MABs Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
Poster	Thu 9:00	Domain Generalization without Excess Empirical Risk Ozan Sener · Vladlen Koltun
Workshop		Generalized Synthetic Control Method with State-Space Model Junzhe Shao · Mingzhang Yin · Xiaoxuan Cai · Linda Valeri
Workshop		Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models Qiujiang Jin · Aryan Mokhtari · Nhat Ho · Tongzheng Ren
Poster	Wed 9:00	FedSR: A Simple and Effective Domain Generalization Method for Federated Learning A. Tuan Nguyen · Philip Torr · Ser Nam Lim
Poster	Tue 14:00	Learning with convolution and pooling operations in kernel methods Theodor Misiakiewicz · Song Mei
Poster	Wed 9:00	Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks Yunwen Lei · Rong Jin · Yiming Ying
Poster	Tue 9:00	SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks Davide Buffelli · Pietro Lió · Fabio Vandin
Workshop		Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid Vineet Jagadeesan Nair
Workshop		Clairvoyant Regret Minimization: Equivalence with Nemirovski’s Conceptual Prox Method and Extension to General Convex Games Gabriele Farina · Christian Kroer · Chung-Wei Lee · Haipeng Luo