Statistical Learning
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
This class of problems is referred to as the "simple bilevel problem" [
EM Distillation for One-step Diffusion Models
While diffusion models can learn complex distributions, sampling requires a computationally expensive iterative process.
DOFEN: Deep Oblivious Forest ENsemble
Deep Neural Networks (DNNs) have revolutionized artificial intelligence, achieving impressive results on diverse data types, including images, videos, and texts.
Parameter-free Clipped Gradient Descent Meets Polyak Y uki T akezawa
Gradient descent and its variants are de facto standard algorithms for training machine learning models. As gradient descent is sensitive to its hyperparame-ters, we need to tune the hyperparameters carefully using a grid search.
MALT Powers Up Adversarial Attacks
Almost Linearity T argeting, based on medium-scale almost linearity assumptions.
