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We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclosing balls. Our algorithms can be extended to some kernelized versions…

Machine Learning · Computer Science 2010-10-22 Kenneth L. Clarkson , Elad Hazan , David P. Woodruff

Probing higgsinos remains a challenge at the LHC owing to their small production cross-sections and the complexity of the decay modes of the nearly mass degenerate higgsino states. The existing limits on higgsino mass are much weaker…

High Energy Physics - Phenomenology · Physics 2025-10-10 Rajneil Baruah , Arghya Choudhury , Kirtiman Ghosh , Subhadeep Mondal , Rameswar Sahu

We derive a new margin-based regularization formulation, termed multi-margin regularization (MMR), for deep neural networks (DNNs). The MMR is inspired by principles that were applied in margin analysis of shallow linear classifiers, e.g.,…

Machine Learning · Computer Science 2020-09-15 Berry Weinstein , Shai Fine , Yacov Hel-Or

We study the discovery reach of the gluino ($\widetilde{g}$) and the lightest stop squark ($\widetilde{t}_1$) with baryonic R-parity violation (UDD type) in the context of Minimal Supersymmetric Standard Model (MSSM) at the 14 TeV run of…

High Energy Physics - Phenomenology · Physics 2015-06-18 Biplob Bhattacherjee , Amit Chakraborty

A search for anomalous production of events with three or more isolated leptons and bottom-quark jets produced in pp collisions at sqrt(s) = 8 TeV is presented. The analysis is based on a data sample corresponding to an integrated…

High Energy Physics - Experiment · Physics 2013-11-28 The CMS Collaboration

The results of a search for pair production of light top squarks are presented, using 4.7 fb^-1 of sqrt(s) = 7 TeV proton-proton collisions collected with the ATLAS detector at the Large Hadron Collider. This search targets top squarks with…

High Energy Physics - Experiment · Physics 2013-06-24 ATLAS Collaboration

The production of a top quark in association with a $Z$ boson is studied in the trilepton channel. The data collected by the ATLAS experiment at the LHC in 2015 and 2016 at a centre-of-mass energy of $\sqrt{s} = 13\,\text{TeV}$ are used,…

High Energy Physics - Experiment · Physics 2018-07-01 Irina Antonela Cioară

A search has been performed for scalar top quark pair production in the lepton+jets channel in ~1 fb^(-1) of data. Kinematic differences between the exotic stop-stopbar and the dominant ttbar process are used to separate the two possible…

High Energy Physics - Experiment · Physics 2007-10-05 D0 Collaboration , Su-Jung Park

Many scenarios of beyond the Standard Model (BSM) physics give rise to new top-philic interactions that can be probed at proton machines such as the Large Hadron Collider through a variety of production and decay modes. On the one hand,…

High Energy Physics - Phenomenology · Physics 2023-08-16 Anisha , Oliver Atkinson , Akanksha Bhardwaj , Christoph Englert , Wrishik Naskar , Panagiotis Stylianou

The interplay between computational efficiency and statistical accuracy in high-dimensional inference has drawn increasing attention in the literature. In this paper, we study computational and statistical boundaries for submatrix…

Statistics Theory · Mathematics 2020-07-27 T. Tony Cai , Tengyuan Liang , Alexander Rakhlin

The sequential analysis of the problem of joint signal detection and signal-to-noise ratio (SNR) estimation for a linear Gaussian observation model is considered. The problem is posed as an optimization setup where the goal is to minimize…

Information Theory · Computer Science 2017-01-20 M. Fauß , K. G. Nagananda , A. M. Zoubir , H. V. Poor

Machine learning techniques are increasingly being applied in high-energy nuclear physics data analysis thanks to their outstanding performance. One key challenge in such applications is the construction of training samples that can…

Nuclear Experiment · Physics 2025-11-14 Yan Wang , Rangrong Ma , Kaifeng Shen , Zebo Tang , Wangmei Zha

The use of single-photon sources (SPSs) is central to numerous systems and devices proposed amidst a modern surge in quantum technology. However, manufacturing schemes remain imperfect, and single-photon emission purity must often be…

We reconsider randomized algorithms for the low-rank approximation of symmetric positive semi-definite (SPSD) matrices such as Laplacian and kernel matrices that arise in data analysis and machine learning applications. Our main results…

Machine Learning · Computer Science 2013-06-05 Alex Gittens , Michael W. Mahoney

We provide a comparative study of the fine tuning amount (Delta) at the two-loop leading log level in supersymmetric models commonly used in SUSY searches at the LHC. These are the constrained MSSM (CMSSM), non-universal Higgs masses models…

High Energy Physics - Phenomenology · Physics 2015-06-04 D. M. Ghilencea , H. M. Lee , M. Park

Although the top quark has been discovered in 1995 and studied extensively by the Tevatron experiments, the top quark will remain special for years to come due to unique opportunities it offers. Because of the large top-antitop production…

High Energy Physics - Experiment · Physics 2019-08-13 Ashish Kumar

The forward LHCb acceptance opens interesting possibilities of studying precision Standard Model hard processes in a kinematical region beyond the reach of ATLAS and CMS. In this paper we perform a feasibility study for cross-section…

High Energy Physics - Phenomenology · Physics 2014-03-12 Rhorry Gauld

Differential measurements of single top quark $t$-channel cross sections as a function of the transverse momentum and the absolute value of the rapidity of the top quark are presented. The data collected by the CMS experiment at the LHC at…

High Energy Physics - Experiment · Physics 2014-11-26 Steffen Röcker

Naturalness considerations, together with the non-observation of superpartners of the Standard Model particles at the Large Hadron Collider (LHC) so far, favor supersymmetric (SUSY) models in which third generation squarks are significantly…

High Energy Physics - Phenomenology · Physics 2011-12-09 Joshua Berger , Maxim Perelstein , Michael Saelim , Andrew Spray

We apply both cut-based and machine learning techniques using the same inputs to the challenge of hadronic jet substructure recognition, utilizing classical subjettiness variables within the Delphes parameterized detector simulation…

High Energy Physics - Phenomenology · Physics 2024-10-21 Jiří Kvita , Petr Baroň , Monika Machalová , Radek Přívara , Rostislav Vodák , Jan Tomeček