SILO: Sameer Deshpande
Sameer Deshpande
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SILO: Yongyi Guo
Yongyi Guo
SILO: Kirthevasan Kandasamy
Kirthevasan Kandasamy
SILO: Yiqiao Zhong
Yiqiao Zhong
SILO: Scalable Gaussian-Process Inference via Sparse Inverse Cholesky Factorization
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinMatthias Katzfuss
SILO: A Statistical Framework for Private Personalized Federated Learning and Estimation
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinSuhas Diggavi, UCLA
SILO: Detecting equivalence between iterative algorithms for optimization
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinMadeleine Udell, Stanford
SILO: Toward a Grand Unified Theory of Accelerations in Optimization and Machine Learning
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinErnest Ryu, SNU
SILO: Connections Between Replicability, Privacy, and Perfect Generalization
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinJessica Sorrell, UPenn
SILO: Distributional Shifts Problems and Distributionally Robust Solutions
Researchers' Link 330 N Orchard St, Madison, WIU Wash, Zaid Harchaoui
SILO: Example Selection and Post-Training Quantization
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinChristopher De Sa, Cornell
SILO: Understanding Deep Learning through Optimization Bias
Orchard View Room 330 N. Orchard Street, 3rd Floor NE, Madison, WisconsinNati Srebro, TTIC