Statistical Learning
Multi-Criteria Dimensionality Reduction with Applications to Fairness
Uthaipon Tantipongpipat, Samira Samadi, Mohit Singh, Jamie H. Morgenstern, Santosh Vempala
Neural Information Processing Systems http://nips.cc/
A Structural Smoothing Framework For Robust Graph Comparison
Pinar Yanardag, S.V.N. Vishwanathan
Neural Information Processing Systems http://nips.cc/
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
Wenqing Hu, Chris Junchi Li, Xiangru Lian, Ji Liu, Huizhuo Yuan
Neural Information Processing Systems http://nips.cc/
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Neural Information Processing Systems http://nips.cc/
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
Our lower bound analysis shows that the sample complexities of BSGD cannot be improved for general convex objectives and nonconvex objectives except for smooth nonconvex objectives with Lipschitz continuous gradient estimator.
Online Learning with Adversarial Delays
Neural Information Processing Systems http://nips.cc/
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
Lin Chen, Hossein Esfandiari, Gang Fu, Vahab Mirrokni
Neural Information Processing Systems http://nips.cc/
Supplementary Material for Interventional Few-Shot Learning
In meta-learning, the goal is to learn the additional "learning behavior" parameterized by
