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Machine learning components commonly appear in larger decision-making pipelines; however, the model training process typically focuses only on a loss that measures accuracy between predicted values and ground truth values. Decision-focused…

Machine Learning · Computer Science 2019-07-19 Aaron Ferber , Bryan Wilder , Bistra Dilkina , Milind Tambe

This is an English (annotated) translation of the German paper by Max Planck (1916) "On the absolute entropy of monatomic bodies" (\"Uber die absolute Entropie einatomiger K\"orper).

History and Philosophy of Physics · Physics 2024-04-02 Pascal Marquet , Max Planck

Topological transforms have been very useful in statistical analysis of shapes or surfaces without restrictions that the shapes are diffeomorphic and requiring the estimation of correspondence maps. In this paper we introduce two…

Algebraic Topology · Mathematics 2023-06-27 Henry Kirveslahti , Sayan Mukherjee

Multidimensional scaling (MDS) is a popular technique for mapping a finite metric space into a low-dimensional Euclidean space in a way that best preserves pairwise distances. We study a notion of MDS on infinite metric measure spaces,…

Statistics Theory · Mathematics 2019-04-17 Lara Kassab

These lecture notes are based on an introductory course given by the author at the summer school "Noncommutative Algebraic Geometry" at MSRI in June 2012. The emphasis throughout is on examples to illustrate the many different facets of…

Representation Theory · Mathematics 2014-01-21 Gwyn Bellamy

In the context of general iterated function systems (IFSs), we introduce bilinear fractal interpolants as the fixed points of certain Read-Bajraktarevi\'{c} operators. By exhibiting a generalized "taxi-cab" metric, we show that the graph of…

Metric Geometry · Mathematics 2014-10-28 Michael F. Barnsley , Peter R. Massopust

Dimensionality reduction and clustering techniques are frequently used to analyze complex data sets, but their results are often not easy to interpret. We consider how to support users in interpreting apparent cluster structure on scatter…

Machine Learning · Computer Science 2021-11-08 Xander Vankwikelberge , Bo Kang , Edith Heiter , Jefrey Lijffijt

While there are numerous linear algebra teaching tools, they tend to be focused on the basics, and not handle the more advanced aspects. This project aims to fill that gap, focusing specifically on methods like Strassen's fast matrix…

Symbolic Computation · Computer Science 2021-07-30 Akhilesh Pai , James Harold Davenport

We study systems of quadratic forms over fields and their isotropy over 2-extensions. We apply this to obtain particular splitting fields for quaternion algebras defined over a finite field extension. As a consequence, we obtain that every…

Rings and Algebras · Mathematics 2024-01-29 Karim Johannes Becher , Fatma Kader Bingöl , David B. Leep

These are notes of lectures on spinning particles and the worldline formalism originally given by Olindo Corradini and Christian Schubert at the School on Spinning Particles in Quantum Field Theory: Worldline Formalism, Higher Spins, and…

High Energy Physics - Theory · Physics 2021-11-22 Olindo Corradini , Christian Schubert , James P. Edwards , Naser Ahmadiniaz

Graph Partitioning is a critical problem in numerous scientific and engineering domains including social network analysis, VLSI design, and many more. Spectral methods are known to produce quality partitions while minimizing edge cuts for a…

Social and Information Networks · Computer Science 2026-05-22 Joshua Dennis Booth , Vishvam Patel

We correct some unfortunate mistakes that appeared in the article D. Taghizadeh, M. Zahraei, A. Peperko and N. H. Aboutalebi, On the numerical ranges of matrices in max algebra, Banach j. Math. Anal., 14 (2020), pp. 1773-1792 concerning…

Spectral Theory · Mathematics 2023-12-05 Mohsen Zahraei

We briefly recount the long friendship that developed between Ludwig and us (Moshe Flato and I), since we first met at ICM 1966 in Moscow. That friendship extended to his school and family, and persists to this day. Its strong personal…

History and Philosophy of Physics · Physics 2023-04-18 Daniel Sternheimer

Here we give further evidences to support our scaling relation described in our previous paper [cond-mat/0006459, Phys. Rev. Lett. Vol.85, pp.1238 (2000)].

Soft Condensed Matter · Physics 2016-08-16 Chi-Hang Lam , Viktor K. Horváth

This is a survey on the state-of-the-art of the classification of finite-dimensional complex Hopf algebras. This general question is addressed through the consideration of different classes of such Hopf algebras. Pointed Hopf algebras…

Quantum Algebra · Mathematics 2014-04-01 Nicolás Andruskiewitsch

This volume contains the papers accepted at the First International Workshop on FPGAs for Software Programmers (FSP 2014), held in Munich, Germany, September 1st, 2014. FSP 2014 was co-located with the International Conference on Field…

Hardware Architecture · Computer Science 2015-03-02 Frank Hannig , Dirk Koch , Daniel Ziener

We propose a distributed first-order augmented Lagrangian (DFAL) algorithm to minimize the sum of composite convex functions, where each term in the sum is a private cost function belonging to a node, and only nodes connected by an edge can…

Optimization and Control · Mathematics 2015-05-12 Necdet Serhat Aybat , Garud Iyengar , Zi Wang

We introduce a method called multi-scale local shape analysis, or MLSA, for extracting features that describe the local structure of points within a dataset. The method uses both geometric and topological features at multiple levels of…

Computational Geometry · Computer Science 2014-10-14 Paul Bendich , Ellen Gasparovic , John Harer , Rauf Izmailov , Linda Ness

The 11th workshop, Descriptional Complexity of Formal Systems 2009, is taking place in Magdeburg, Germany, on July 6-9, 2009. It is jointly organized by the IFIP Working Group 1.2 on Descriptional Complexity and by the Faculty of Computer…

Formal Languages and Automata Theory · Computer Science 2010-02-23 Jürgen Dassow , Giovanni Pighizzini , Bianca Truthe

We present a new family of min-max optimization algorithms that automatically exploit the geometry of the gradient data observed at earlier iterations to perform more informative extra-gradient steps in later ones. Thanks to this adaptation…

Optimization and Control · Mathematics 2020-11-20 Kimon Antonakopoulos , E. Veronica Belmega , Panayotis Mertikopoulos
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