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Longer titles found: Stochastic gradient descent (view)

searching for Gradient descent 73 found (351 total)

Meta-learning (computer science) (2,496 words) [view diff] exact match in snippet view article

optimization algorithm, compatible with any model that learns through gradient descent. Reptile is a remarkably simple meta-learning optimization algorithm

Martín Abadi (444 words) [view diff] exact match in snippet view article find links to article

contributed to the development of differentially private stochastic gradient descent.[1] He is a 2008 Fellow of the Association for Computing Machinery

Information geometry (1,015 words) [view diff] exact match in snippet view article find links to article

information-geometric optimization methods (mirror descent and natural gradient descent). The standard references in the field are Shun’ichi Amari and Hiroshi

Kernel adaptive filter (741 words) [view diff] exact match in snippet view article find links to article

updated as for the Kalman Filter case in linear filters. Iterative gradient descent that is typically used in adaptive filters has also gained popularity

DeepDream (1,779 words) [view diff] exact match in snippet view article find links to article

activity of looking for animals or other patterns in clouds. Applying gradient descent independently to each pixel of the input produces images in which adjacent

Image segmentation (9,699 words) [view diff] exact match in snippet view article find links to article

cases, energy minimization is generally conducted using a steepest-gradient descent, whereby derivatives are computed using, e.g., finite differences.

Learning rule (1,198 words) [view diff] case mismatch in snippet view article find links to article

of learning methods - Hebbian - Neocognitron, Brain-state-in-a-box Gradient Descent - ADALINE, Hopfield Network, Recurrent Neural Network Competitive -

Minimax eversion (521 words) [view diff] exact match in snippet view article find links to article

ascent from the round sphere to the half-way model, then gradient descent down (gradient descent for Willmore energy is called Willmore flow). More symmetrically

CMA-ES (7,558 words) [view diff] exact match in snippet view article find links to article

search steps is increased. Both updates can be interpreted as a natural gradient descent. Also, in consequence, the CMA conducts an iterated principal components

Higher-order singular value decomposition (4,433 words) [view diff] exact match in snippet view article find links to article

contrast to the sequential algorithms proposed by Tucker that employs gradient descent, and De Lathauwer etal's algorithms that employs the power method.

Bernard Widrow (1,222 words) [view diff] exact match in snippet view article find links to article

cannot be designed. Widrow thus designed an adaptive filter that uses gradient descent to minimize the mean square error. He also attended the Dartmouth workshop

Quantum neural network (2,552 words) [view diff] exact match in snippet view article find links to article

\phi ^{\text{out}}|\rho ^{\text{out}}|\phi ^{\text{out}}\rangle }} Gradient descent is widely used and successful in classical algorithms. However, although

Computer-generated holography (2,595 words) [view diff] exact match in snippet view article find links to article

algorithms such as direct search, simulated annealing or stochastic gradient descent using, for example, TensorFlow. The third (technical) issue is beam

Large width limits of neural networks (869 words) [view diff] exact match in snippet view article find links to article

Kernel describes the evolution of neural network predictions during gradient descent training. In the infinite width limit the NTK usually becomes constant

Vanishing gradient problem (3,705 words) [view diff] exact match in snippet view article find links to article

) {\displaystyle L(x_{T},u_{1},...,u_{T})} , then minimizing it by gradient descent gives Δ θ = − η ⋅ [ ∇ x L ( x T ) ( ∇ θ F ( x t − 1 , u t , θ ) + ∇

Autoassociative memory (693 words) [view diff] exact match in snippet view article find links to article

Richard M. (1986-03-01). "The "Brain-State-in-a-Box" neural model is a gradient descent algorithm". Journal of Mathematical Psychology. 30 (1): 73–80. doi:10

Stability (learning theory) (2,656 words) [view diff] exact match in snippet view article

supervised and unsupervised. 2016 - Moritz Hardt et al. proved stability of gradient descent given certain assumption on the hypothesis and number of times each

Video tracking (1,212 words) [view diff] exact match in snippet view article find links to article

directly evolves the contour by minimizing the contour energy using gradient descent. Filtering and data association is mostly a top-down process, which

John K. Kruschke (2,078 words) [view diff] exact match in snippet view article find links to article

the speed of learning. The ALCOVE model of associative learning used gradient descent on error, as in back-propagation networks, to learn what stimulus dimensions

Hinge loss (995 words) [view diff] exact match in snippet view article find links to article

Advances in Preference Handling. Zhang, Tong (2004). Solving large scale linear prediction problems using stochastic gradient descent algorithms (PDF). ICML.

Mean shift (1,983 words) [view diff] exact match in snippet view article find links to article

of what is known in the optimization literature as multiple restart gradient descent. Starting at some guess for a local maximum, y k {\displaystyle y_{k}}

Generative topographic map (746 words) [view diff] exact match in snippet view article find links to article

deformation could be used. The optimal parameters could be found by gradient descent, etc. The suggested approach to the nonlinear mapping is to use a radial

Timothy Lillicrap (911 words) [view diff] case mismatch in snippet view article find links to article

Botvinick, Nando de Freitas (2017). Learning to Learn without Gradient Descent by Gradient Descent. arXiv:1611.03824v6, ICML 2017 David Silver, Julian Schrittwieser

Compressed sensing (5,874 words) [view diff] exact match in snippet view article find links to article

reconstructed image/signal. The minimization of P2 is done through a simple gradient descent method. Convergence is determined by testing, after each iteration

PPAD (complexity) (1,003 words) [view diff] case mismatch in snippet view article

Hollender, Alexandros; Savani, Rahul (2022-12-19). "The Complexity of Gradient Descent: CLS = PPAD ∩ PLS". Journal of the ACM. 70 (1): 7:1–7:74. arXiv:2011

You Only Look Once (1,222 words) [view diff] exact match in snippet view article find links to article

with the highest IoU with the ground truth bounding boxes is used for gradient descent. Concretely, let j {\displaystyle j} be that predicted bounding box

Huber loss (1,098 words) [view diff] exact match in snippet view article find links to article

(2004). Solving large scale linear prediction problems using stochastic gradient descent algorithms. ICML. Friedman, J. H. (2001). "Greedy Function Approximation:

Regularized least squares (4,894 words) [view diff] exact match in snippet view article find links to article

regression ‖ w ‖ 1 {\displaystyle \left\|w\right\|_{1}} Laplace Proximal gradient descent, least angle regression ℓ 0 {\displaystyle \ell _{0}} penalization

Halftone (3,180 words) [view diff] exact match in snippet view article find links to article

(2009). "Least-square halftoning via human vision system and Markov gradient descent (LS-MGD): Algorithm and analysis". SIAM Rev. 3. 51 (3): 567–589. Bibcode:2009SIAMR

PAQ (3,384 words) [view diff] exact match in snippet view article find links to article

from PAQ6 is it uses a neural network to combine models rather than a gradient descent mixer. Another feature is PAQ7's ability to compress embedded jpeg

NNPDF (383 words) [view diff] exact match in snippet view article find links to article

the minimization strategy is based in genetic algorithms as well as gradient descent based minimizers. The neural network training is stopped dynamically

Sepp Hochreiter (1,281 words) [view diff] case mismatch in snippet view article find links to article

; Younger, A. S.; Conwell, P. R. (2001). "Learning to Learn Using Gradient Descent". Artificial Neural Networks — ICANN 2001 (PDF). Lecture Notes in Computer

Free energy principle (6,424 words) [view diff] exact match in snippet view article find links to article

theory of neuronal dynamics is based on minimising free energy through gradient descent. This corresponds to generalised Bayesian filtering (where ~ denotes

Image stitching (2,834 words) [view diff] exact match in snippet view article find links to article

another. Algorithms that combine direct pixel-to-pixel comparisons with gradient descent (and other optimization techniques) can be used to estimate these parameters

Discounted cumulative gain (2,036 words) [view diff] exact match in snippet view article find links to article

Nicole Hamilton, and Greg Hullender. 2005. Learning to rank using gradient descent. In Proceedings of the 22nd international conference on Machine learning

XGBoost (1,322 words) [view diff] exact match in snippet view article find links to article

Newton–Raphson in function space unlike gradient boosting that works as gradient descent in function space, a second order Taylor approximation is used in the

Machine learning control (995 words) [view diff] exact match in snippet view article find links to article

actor are trained iteratively using temporal difference learning or gradient descent to satisfy the Hamilton-Jacobi-Bellman (HJB) equation: min u (

Multidimensional scaling (3,244 words) [view diff] exact match in snippet view article find links to article

x_{1},...,x_{n}=\arg \min _{x_{1},...,x_{n}}S(x_{1},...,x_{n};f)} by gradient descent or other methods. Return x i {\displaystyle x_{i}} and f {\displaystyle

Michèle Sebag (357 words) [view diff] exact match in snippet view article find links to article

Bottou, and Patrick Gallinari. "SGD-QN: Careful quasi-Newton stochastic gradient descent." Journal of Machine Learning Research 10.Jul (2009): 1737–1754. Termier

Hopfield network (8,525 words) [view diff] exact match in snippet view article find links to article

Willshaw et al. in 1969. Teuvo Kohonen trained an associative memory by gradient descent in 1974. Another origin of associative memory was statistical mechanics

Carnegie Mellon School of Computer Science (2,437 words) [view diff] exact match in snippet view article find links to article

Neural Network, the first Convolutional Neural Network trained by gradient descent, using backpropagation. He is a member of the German National Academy

Diffusion model (14,123 words) [view diff] exact match in snippet view article find links to article

walker) and gradient descent down the potential well. The randomness is necessary: if the particles were to undergo only gradient descent, then they will

StyleGAN (1,854 words) [view diff] exact match in snippet view article find links to article

, x ′ {\displaystyle x,x'} can be performed as well. First, run a gradient descent to find z , z ′ {\displaystyle z,z'} such that G ( z ) ≈ x , G ( z

Hyper basis function network (766 words) [view diff] exact match in snippet view article find links to article

W}}=0} where R j = W T W {\displaystyle R_{j}=W^{T}W} . Then in the gradient descent method the values of a j , μ j , W {\displaystyle a_{j},\mu _{j},W}

Ho–Kashyap rule (1,151 words) [view diff] exact match in snippet view article find links to article

remains to find b {\displaystyle \mathbf {b} } by gradient descent. However, the gradient descent may sometimes decrease some of the coordinates of b

Quantile regression (4,109 words) [view diff] exact match in snippet view article find links to article

tilted absolute value loss function (a.k.a. the pinball loss) allows gradient descent-based learning algorithms to learn a specified quantile instead of

Emmanuel David Tannenbaum (483 words) [view diff] no match in snippet view article find links to article

Heller (2001). "Semiclassical quantization using invariant tori: a gradient-descent approach". The Journal of Physical Chemistry A. 105 (12): 2803–2813

Jake Elwes (2,492 words) [view diff] case mismatch in snippet view article find links to article

Germany) - I am here to learn (2018) Nature Morte (Delhi, India) - Gradient Descent (2018) BALTIC Centre for Contemporary Art (Newcastle, UK) - Bloomberg

Multi-objective optimization (9,566 words) [view diff] exact match in snippet view article find links to article

this setup, including using hypernetworks and using Stein variational gradient descent. Commonly known a posteriori methods are listed below: ε-constraint

Similarities between Wiener and LMS (1,017 words) [view diff] exact match in snippet view article find links to article

{\displaystyle {\frac {\partial E}{\partial w_{i}}}=-2(e[n])(x[n-i])} Using gradient descent and a step size μ {\displaystyle \mu } : w [ n + 1 ] = w [ n ] − μ

Nicolson–Ross–Weir method (1,231 words) [view diff] exact match in snippet view article find links to article

Diaz-Morcillo, A. (615–624). "Combined use of genetic algorithms and gradient descent optmization methods for accurate inverse permittivity measurement"

Salience (neuroscience) (4,166 words) [view diff] exact match in snippet view article

be a fundamental mechanisms determined during recognition through gradient descent, needing not be spatial in nature. Availability heuristic – Bias towards

Fisher information (7,376 words) [view diff] exact match in snippet view article find links to article

an alternative to the Hessian of the loss function in second-order gradient descent network training. Using a Fisher information metric, da Fonseca et

Energy minimization (3,131 words) [view diff] exact match in snippet view article find links to article

minimize the forces and this could in theory be any method such as gradient descent, conjugate gradient or Newton's method, but in practice, algorithms

Gradient vector flow (3,232 words) [view diff] exact match in snippet view article find links to article

itself (1) can be directly discretized and minimized, for example, by gradient descent. Second, the partial differential equations in (2) can be discretized

HHL algorithm (4,990 words) [view diff] exact match in snippet view article find links to article

increases, the ease with which the solution vector can be found using gradient descent methods such as the conjugate gradient method decreases, as A {\displaystyle

YaDICs (2,141 words) [view diff] exact match in snippet view article find links to article

be used on a local mesh. The YaDICs optimization process follows a gradient descent scheme. The first step is to compute the gradient of the metric regarding

TFNP (2,698 words) [view diff] case mismatch in snippet view article find links to article

Alexandros; Savani, Rahul (11 November 2020). "The Complexity of Gradient Descent: CLS = PPAD ∩ PLS". arXiv:2011.01929 [cs.CC]. Thieme, Nick (2021-08-17)

Lateral computing (4,212 words) [view diff] exact match in snippet view article find links to article

error is back propagated and the network weights are adjusted using gradient descent. The network converges through several hundreds of iterative computations

Lenia (1,997 words) [view diff] exact match in snippet view article find links to article

However, Lenia uses far larger, fixed, kernels and is not trained via gradient descent. Conway's Game of Life Cellular automaton Self-replication Pattern

Face hallucination (1,633 words) [view diff] exact match in snippet view article find links to article

technique. The algorithm is based on Bayesian MAP formulation and use gradient descent to optimize the objective function and it generates the high frequency

Convolutional sparse coding (6,082 words) [view diff] exact match in snippet view article find links to article

{\textstyle \mathbf {\Gamma } } to be efficiently estimated via projected gradient descent algorithms such as orthonormal matching pursuit (OMP) and basis pursuit

RNA timestamp (1,750 words) [view diff] exact match in snippet view article find links to article

specific promoter, a transcriptional program was developed that uses a gradient descent algorithm to describe the number of timestamps generated as a function

Machine learning in video games (4,184 words) [view diff] exact match in snippet view article find links to article

both neural networks and evolutionary algorithms. Instead of using gradient descent like most neural networks, neuroevolution models make use of evolutionary

PLS (complexity) (5,471 words) [view diff] case mismatch in snippet view article

Hollender, Alexandros; Savani, Rahul (2022-12-19). "The Complexity of Gradient Descent: CLS = PPAD ∩ PLS". Journal of the ACM. 70 (1): 7:1–7:74. arXiv:2011

Derivation of the conjugate gradient method (4,964 words) [view diff] exact match in snippet view article find links to article

are not picked well, then progress will be slow. In particular, the gradient descent method would be slow. This can be seen in the diagram, where the green

Light field microscopy (5,024 words) [view diff] exact match in snippet view article find links to article

~\max(V^{(k)}+\bigtriangleup ^{(k+1)},0)} . This idea is based on constrained gradient descent: the estimation of V {\displaystyle V} is improved iteratively by calculating

Edward Y. Chang (2,536 words) [view diff] case mismatch in snippet view article find links to article

88. PMID 20421667. S2CID 6703419. "SpeeDO: Parallelizing Stochastic Gradient Descent for Deep Convolutional Neural Network" (PDF). Chang, Edward Y. (2011)

Attention Is All You Need (3,910 words) [view diff] exact match in snippet view article find links to article

weights" or "dynamic links" (1981). A slow neural network learns by gradient descent to generate keys and values for computing the weight changes of the

Flow-based generative model (9,377 words) [view diff] exact match in snippet view article find links to article

{\displaystyle \max _{\theta }\sum _{j}\ln p_{\theta }(x_{j})} by gradient descent RETURN. θ ^ {\displaystyle {\hat {\theta }}} The earliest example.

Progressive-iterative approximation method (8,005 words) [view diff] exact match in snippet view article find links to article

strategy: Rios and Jüttle explored the relationship between LSPIA and gradient descent method and proposed a stochastic LSPIA algorithm with parameter correction

Adaptive noise cancelling (4,165 words) [view diff] exact match in snippet view article find links to article

that can be reached from any point by descending along the gradient. Gradient descent algorithms, such as the original Least Means Squared algorithm, iteratively

University of Illinois Center for Supercomputing Research and Development (6,992 words) [view diff] exact match in snippet view article find links to article

properties of neural networks which are typically trained using stochastic gradient descent and its variants. They observed that neurons saturate when network