Výsledky vyhledávání - exponentiated‐gradient algorithm

Estimating the spectrum in computed tomography via Kullback–Leibler divergence constrained optimization Autor Ha, Wooseok, Sidky, Emil Y., Barber, Rina Foygel, Schmidt, Taly Gilat, Pan, Xiaochuan

“… The formulated constrained optimization problem is convex and can be solved efficiently by use of the exponentiated‐gradient (EG) algorithm…”
Získat plný text

EGRank: An exponentiated gradient algorithm for sparse learning-to-rank Autor Du, Lei, Pan, Yan, Ding, Jintang, Lai, Hanjiang, Huang, Changqin

“… An exponential gradient algorithm is proposed to learn sparse models for learning-to-rank, which can be formulated as a convex optimization problem with the ℓ1 constraint…”
Získat plný text

Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection Autor Cichocki, Andrzej, Cruces, Sergio, Sarmiento, Auxiliadora, Tanaka, Toshihisa

“…Stochastic gradient descent (SGD) and exponentiated gradient (EG) update methods are widely used in signal processing and machine learning…”
Získat plný text

Convergence of exponentiated gradient algorithms Autor Hill, S.I., Williamson, R.C.

“…This paper studies three related algorithms: the (traditional) gradient descent (GD) algorithm, the exponentiated gradient algorithm with positive and negative weights…”
Získat plný text

A Study of the Exponentiated Gradient +/- Algorithm for Stochastic Optimization of Neural Networks Autor Parks, David F

“…Exponentiated Gradient +/- (abbr. EG+-) is a gradient update algorithm drawn from work by Manfred Warmuth…”
Získat plný text

Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection Autor Cichocki, Andrzej, Cruces, Sergio, Sarmiento, Auxiliadora, Tanaka, Toshihisa

“…This paper introduces a novel family of generalized exponentiated gradient (EG) updates derived from an Alpha-Beta divergence regularization function…”
Získat plný text

Kernelization of matrix updates, when and how? Autor Warmuth, Manfred K., Kotłowski, Wojciech, Zhou, Shuisheng

“…We define what it means for a learning algorithm to be kernelizable in the case when the instances are vectors, asymmetric matrices and symmetric matrices, respectively…”
Získat plný text

On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization Autor Garber, Dan, Kaplan, Atara

“… In particular, the desirable choice is the Matrix Exponentiated Gradient (MEG) method which is based on the Bregman distance induced by the (negative…”
Získat plný text

Online variance minimization Autor Warmuth, Manfred K., Kuzmin, Dima

“… . For the first parameter space we apply the Exponentiated Gradient algorithm…”
Získat plný text

Energy-Efficient LSTM Networks for Online Learning Autor Ergen, Tolga, Mirza, Ali H., Kozat, Suleyman Serdar

“… For this structure, we also introduce highly effective online training algorithms. We first provide a generic LSTM-based regression structure for variable-length input sequences…”
Získat plný text

Exponentiated Gradient Exploration for Active Learning Autor Bouneffouf, Djallel

“… more informative. In this setting, we propose a sequential algorithm named exponentiated gradient (EG)-active that can improve any active learning algorithm by an optimal random exploration…”
Získat plný text

Efficient online quantum state estimation using a matrix-exponentiated gradient method Autor Youssry, Akram, Ferrie, Christopher, Tomamichel, Marco

“…In this paper, we explore an efficient online algorithm for quantum state estimation based on a matrix-exponentiated gradient method previously used in the context of machine learning…”
Získat plný text

An exponentiated gradient adaptive algorithm for blind identification of sparse SIMO systems Autor Benesty, J., Yiteng Huang, Jingdong Chen

“…Sparse impulse responses are encountered in many acoustic and wireless channels. Recently, a class of exponentiated gradient (EG…”
Získat plný text

The LMS, PNLMS, and exponentiated gradient algorithms Autor Benesty, Jacob, Yiteng Huang

“…). Recently, a class of exponentiated gradient (EG) algorithms has been proposed. One of the algorithms belonging to this class, the so-called EG…”
Získat plný text

A Comparison of New and Old Algorithms for a Mixture Estimation Problem Autor Helmbold, David P., Schapire, Robert E., Singer, Yoram, Warmuth, Manfred K.

“… The square distance leads to the gradient projection update, and the relative entropy to a new update which we call the exponentiated gradient update (EG^sub…”
Získat plný text

An analysis of the exponentiated gradient descent algorithm Autor Hill, S.I., Williamson, R.C.

“…: the gradient descent (GD) algorithm, the exponentiated gradient algorithm with positive and negative weights…”
Získat plný text

Sparse Recovery From Multiple Measurement Vectors Using Exponentiated Gradient Updates Autor Khanna, Saurabh, Murthy, Chandra Ramabhadra

“… For proximal regularization based on Von Neumann Bregman matrix divergence, an exponentiated gradient (EG…”
Získat plný text

Exponentiated Gradient versus Gradient Descent for Linear Predictors Autor Kivinen, Jyrki, Warmuth, Manfred K.

“…We consider two algorithms for on-line prediction based on a linear model. The algorithms are the well-known gradient descent (GD…”
Získat plný text

Exponentiated Gradient LINUCB for Contextual Multi-Armed Bandits Autor Bouneffouf, Djallel

“…We present Exponentiated Gradient LINUCB, an algorithm for con-textual multi-armed bandits…”
Získat plný text

Efficient online quantum state estimation using a matrix-exponentiated gradient method Autor Youssry, Akram, Ferrie, Christopher, Tomamichel, Marco

“…In this paper, we explore an efficient online algorithm for quantum state estimation based on a matrix-exponentiated gradient method previously used in the context of machine learning…”
Získat plný text