Optimization
A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks
K = 5 for all tested models, while retaining the performance for K = 1 .
Kissing to Find a Match: Efficient Low-Rank Permutation Representation
This leads to a drastic reduction in computation and memory costs, e.g., up to
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity Ignavier Ng
Independent component analysis (ICA) is a fundamental statistical tool used to reveal hidden generative processes from observed data.
Mechanic: A Learning Rate Tuner
Modern deep learning is driven by first-order stochastic optimization algorithms.
Credal Marginal MAP
Marginal MAP is a widely applicable mixed inference task that identifies the most likely assignment for a subset of variables (called MAP variables).
DEL T A: Diverse Client Sampling for Fasting Federated Learning Lin Wang
Partial client participation has been widely adopted in Federated Learning (FL) to reduce the communication burden efficiently.