#nonsmoothoptimization search results
#AdilBagirov Seminer salonunda Prof.Dr. Adil Bagirov’un konusmasi basliyor. #YAEM2018 #nonsmoothoptimization
Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…
Nonparametric regression estimates relationships between variables without assuming a fixed equation, making it useful for capturing complex patterns in economics, biology, and machine learning. Techniques like kernel smoothing, local polynomial regression, and splines provide…
(Non-Parametric) Bootstrap Robust Optimization for Portfolios and Trading Strategies ui.adsabs.harvard.edu/abs/2025arXiv2…
ui.adsabs.harvard.edu
(Non-Parametric) Bootstrap Robust Optimization for Portfolios and Trading Strategies
Robust optimization provides a principled framework for decision-making under uncertainty, with broad applications in finance, engineering, and operations research. In portfolio optimization,...
The proximal operator is a cornerstone of non-smooth optimization. The prox of the L1 norm is given by the soft-thresholding function (orange line):
1/9 Introducing LOTION (Low-precision optimization via stochastic-noise smoothing), a principled alternative to Quantization-Aware Training (QAT) that explicitly smooths the quantized loss surface while preserving all global minima of the true quantized loss. Details below:
[Feature Paper] "SVM-Based Multiple Instance Classification via DC Optimization" from the special issue Nonsmooth Optimization in honor of the 60th birthday of Adil M. Bagirov mdpi.com/1999-4893/12/1… mdpi.com/journal/algori… #supportvectormachine #nonsmoothoptimization
Sharing our second Connectionism research post on Modular Manifolds, a mathematical approach to refining training at each layer of the neural network
Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…
Legacy network architecture creates AI bottlenecks. Move forward with noBGP and optimize your network with deterministic routes, ideals for AI workloads.
Introducing Sail’s Optimization Engine Credits to @byAlvaro_12 (our quant, our quantitative) Full Document: docsend.com/v/sm78x/sail_c… Learn more ⬇️
[REPOST] We are very much looking forward to your contribution! Deadline: 31 October 2019 mdpi.com/journal/algori… #Nonsmoothoptimization #Nondifferentiableprogramming #Subgradientmethods #Bundlemethods #Applicationsofnonsmoothoptimization #algorithms
🚀 Call for Papers: Special Issue on "Nonsmooth Optimization and Its Applications" 🧠 📚 Guest Editor: Dr. Nargiz Sultanova. 🔍 Explore the full details and submission guidelines here: mdpi.com/journal/algori… #nonsmoothoptimization #nondifferentiableoptimization
New Special Issue "Nonsmooth Optimization in honor of the 60th birthday of Adil M. Bagirov" We very much look forward to your contribution. mdpi.com/journal/algori… #Nonsmoothoptimization #Nondifferentiableprogramming #Subgradientmethods #Bundlemethods #algorithms
Nesterov dropped a new paper last week on what functions can be optimized with gradient descent. The idea is simple: we know GD can optimize both nonsmooth (bounded grads) and smooth (Lipschitz grads) functions, but smooth+nonsmooth satisfies neither property, so what can we do?
[Feature Paper] On the Use of Biased-Randomized Algorithms for Solving Non-Smooth Optimization Problems mdpi.com/1999-4893/13/1… #nonsmoothoptimization #biasedrandomizedalgorithms #heuristicssoftconstraints #algorithms #journal #openaccess
surprised how seamless the unsheathing is. almost did it in a way that was 500x more complicated and would have looked maybe 10% better
PROBABILITY DU JOUR / GEOMETRY You can express ALL nonlinear functions (for machine learning and other applications) using summs of call options, calibrated via the arc tangent of the slope.
Today, we’re launching new algorithms that enable 10x longer context lengths & 90% less VRAM for training Reasoning Models (GRPO). Using Unsloth, you can now train your own reasoning model with just 5GB VRAM for Qwen2.5-1.5B with no accuracy loss. Blog: unsloth.ai/blog/grpo
『非線形最適化法: 数理的基礎とPythonによる実装』 「非線形最適化に焦点を当て、そのうちの無制約最適化・制約付き最適化それぞれについて、代表的なアルゴリズムとその収束に関する数理を、丁寧に詳しく解説します。」 amzn.to/40VkpM0
🚀 Call for Papers: Special Issue on "Nonsmooth Optimization and Its Applications" 🧠 📚 Guest Editor: Dr. Nargiz Sultanova. 🔍 Explore the full details and submission guidelines here: mdpi.com/journal/algori… #nonsmoothoptimization #nondifferentiableoptimization
📕Call for Reading: This #specialissue "Recent Advances in Nonsmooth Optimization and Analysis" published 8 high-quality papers, and is viewed by 17482! 🔗We invite you to read and share: mdpi.com/journal/algori… #nonsmoothoptimization #convexoptimization
Welcome to submit your paper to this new #specialissue "Algorithms in Nonsmooth Optimization" Edited by Dr. Sorin-Mihai Grad. Explore more details via the link: mdpi.com/journal/algori… @MDPI #algorithms #nonsmoothoptimization #callforpapers
[Feature Paper] On the Use of Biased-Randomized Algorithms for Solving Non-Smooth Optimization Problems mdpi.com/1999-4893/13/1… #nonsmoothoptimization #biasedrandomizedalgorithms #heuristicssoftconstraints #algorithms #journal #openaccess
[Feature Paper] "SVM-Based Multiple Instance Classification via DC Optimization" from the special issue Nonsmooth Optimization in honor of the 60th birthday of Adil M. Bagirov mdpi.com/1999-4893/12/1… mdpi.com/journal/algori… #supportvectormachine #nonsmoothoptimization
[REPOST] We are very much looking forward to your contribution! Deadline: 31 October 2019 mdpi.com/journal/algori… #Nonsmoothoptimization #Nondifferentiableprogramming #Subgradientmethods #Bundlemethods #Applicationsofnonsmoothoptimization #algorithms
New Special Issue "Nonsmooth Optimization in honor of the 60th birthday of Adil M. Bagirov" We very much look forward to your contribution. mdpi.com/journal/algori… #Nonsmoothoptimization #Nondifferentiableprogramming #Subgradientmethods #Bundlemethods #algorithms
#AdilBagirov Seminer salonunda Prof.Dr. Adil Bagirov’un konusmasi basliyor. #YAEM2018 #nonsmoothoptimization
#AdilBagirov Seminer salonunda Prof.Dr. Adil Bagirov’un konusmasi basliyor. #YAEM2018 #nonsmoothoptimization
Welcome to submit your paper to this new #specialissue "Algorithms in Nonsmooth Optimization" Edited by Dr. Sorin-Mihai Grad. Explore more details via the link: mdpi.com/journal/algori… @MDPI #algorithms #nonsmoothoptimization #callforpapers
New Special Issue "Nonsmooth Optimization in honor of the 60th birthday of Adil M. Bagirov" We very much look forward to your contribution. mdpi.com/journal/algori… #Nonsmoothoptimization #Nondifferentiableprogramming #Subgradientmethods #Bundlemethods #algorithms
🚀 Call for Papers: Special Issue on "Nonsmooth Optimization and Its Applications" 🧠 📚 Guest Editor: Dr. Nargiz Sultanova. 🔍 Explore the full details and submission guidelines here: mdpi.com/journal/algori… #nonsmoothoptimization #nondifferentiableoptimization
[REPOST] We are very much looking forward to your contribution! Deadline: 31 October 2019 mdpi.com/journal/algori… #Nonsmoothoptimization #Nondifferentiableprogramming #Subgradientmethods #Bundlemethods #Applicationsofnonsmoothoptimization #algorithms
[Feature Paper] On the Use of Biased-Randomized Algorithms for Solving Non-Smooth Optimization Problems mdpi.com/1999-4893/13/1… #nonsmoothoptimization #biasedrandomizedalgorithms #heuristicssoftconstraints #algorithms #journal #openaccess
[Feature Paper] "SVM-Based Multiple Instance Classification via DC Optimization" from the special issue Nonsmooth Optimization in honor of the 60th birthday of Adil M. Bagirov mdpi.com/1999-4893/12/1… mdpi.com/journal/algori… #supportvectormachine #nonsmoothoptimization
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