A Simple Expression for Mill's Ratio of the Student's $t$-Distribution
I show a simple expression of the Mill's ratio of the Student's t-Distribution. I use it to prove Conjecture 1 in P. Auer, N. Cesa-Bianchi, and P. Fischer. Finite-time analysis of the multiarmed bandit problem. Mach. Learn., 47(2-3):235--256, May 2002.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks
Large-scale face recognition in-the-wild has been recently achieved matured performance in many real work applications. However, such systems are built on GPU platforms and mostly deploy heavy deep network architectures.…
Face RecognitionGPULightweight Face RecognitionPoint Adversarial Self Mining: A Simple Method for Facial Expression Recognition
In this paper, we propose a simple yet effective approach, named Point Adversarial Self Mining (PASM), to improve the recognition accuracy in facial expression recognition. Unlike previous works focusing on designing spe…
Adversarial AttackData AugmentationFacial Expression RecognitionFacial Expression Recognition (FER)+2NeuReduce: Reducing Mixed Boolean-Arithmetic Expressions by Recurrent Neural Network
Mixed Boolean-Arithmetic (MBA) expressions involve both arithmetic calculation (e.g.,plus, minus, multiply) and bitwise computation (e.g., and, or, negate, xor). MBA expressions have been widely applied in software obfus…
FormDiffusion Models Are Innate One-Step Generators
Diffusion Models (DMs) have achieved great success in image generation and other fields. By fine sampling through the trajectory defined by the SDE/ODE solver based on a well-trained score model, DMs can generate remarka…
Image GenerationModeling Student Learning with 3.8 Million Program Traces
As programmers write code, they often edit and retry multiple times, creating rich "interaction traces" that reveal how they approach coding tasks and provide clues about their level of skill development. For novice prog…
Code Generation