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Related papers: A Conversation with Jerry Friedman

200 papers

This material was presented in a series of lectures at the Santa Fe Institute, the Los Alamos National Laboratory, and the University of New Mexico, during a one-month visit to the Santa Fe Institute, April 1995.

chao-dyn · Physics 2016-08-31 G J Chaitin

In 1927, just after he obtained a full professorship, Enrico Fermi delivered his first course on Theoretical Physics at the Institute of Physics in Rome. The following year Edoardo Amaldi, Emilio Segre' and Ettore Majorana became students…

History and Philosophy of Physics · Physics 2007-05-23 A. De Gregorio , S. Esposito

The CERN-Latin-American School of High-Energy Physics is intended to give young physicists an introduction to the theoretical aspects of recent advances in elementary particle physics. These proceedings contain lectures on quantum field…

High Energy Physics - Phenomenology · Physics 2010-10-29 C. Grojean , M. Spiropulu

By popular request we post these old (from 2001) lecture notes of the Varenna Summer School Proceedings. The original was published as J. I. Cirac, L. M. Duan, and P. Zoller, in "Experimental Quantum Computation and Information" Proceedings…

Quantum Physics · Physics 2009-09-29 J. I. Cirac , L. M. Duan , P. Zoller

Through the use of a system-building approach, an approach that includes finding common ground for the various philosophical paradigms within statistics, Erich L. Lehmann is responsible for much of the synthesis of classical statistical…

Statistics Theory · Mathematics 2012-02-24 Javier Rojo

We propose JFR, a Bellman-Ford-based optimization framework leveraging frontier contraction and abstract multi-hop jump propagation to accelerate shortest-path computation while strictly preserving correctness. JFR achieves substantial…

Data Structures and Algorithms · Computer Science 2025-12-23 Xin Wang , Xi Chen

The 6th Annual Conference on Health, Inference, and Learning (CHIL 2025), hosted by the Association for Health Learning and Inference (AHLI), was held in person on June 25-27, 2025, at the University of California, Berkeley, in Berkeley,…

Machine Learning · Computer Science 2025-11-05 Emily Alsentzer , Marie-Laure Charpignon , Bill Chen , Niharika D'Souza , Jason Fries , Yixing Jiang , Aparajita Kashyap , Chanwoo Kim , Simon Lee , Aishwarya Mandyam , Ashery Mbilinyi , Nikita Mehandru , Nitish Nagesh , Brighton Nuwagira , Emma Pierson , Arvind Pillai , Akane Sano , Tanveer Syeda-Mahmood , Shashank Yadav , Elias Adhanom , Muhammad Umar Afza , Amelia Archer , Suhana Bedi , Vasiliki Bikia , Trenton Chang , George H. Chen , Winston Chen , Erica Chiang , Edward Choi , Octavia Ciora , Paz Dozie-Nnamah , Shaza Elsharief , Matthew Engelhard , Ali Eshragh , Jean Feng , Josh Fessel , Scott Fleming , Kei Sen Fong , Thomas Frost , Soham Gadgil , Judy Gichoya , Leeor Hershkovich , Sujeong Im , Bhavya Jain , Vincent Jeanselme , Furong Jia , Qixuan Jin , Yuxuan Jin , Daniel Kapash , Geetika Kapoor , Behdokht Kiafar , Matthias Kleiner , Stefan Kraft , Annika Kumar , Daeun Kyung , Zhongyuan Liang , Joanna Lin , Qianchu Liu , Chang Liu , Hongzhou Luan , Chris Lunt , Leopoldo Julían Lechuga López , Matthew B. A. McDermott , Shahriar Noroozizadeh , Connor O'Brien , YongKyung Oh , Mixail Ota , Stephen Pfohl , Meagan Pi , Tanmoy Sarkar Pias , Emma Rocheteau , Avishaan Sethi , Toru Shirakawa , Anita Silver , Neha Simha , Kamile Stankeviciute , Max Sunog , Peter Szolovits , Shengpu Tang , Jialu Tang , Aaron Tierney , John Valdovinos , Byron Wallace , Will Ke Wang , Peter Washington , Jeremy Weiss , Daniel Wolfe , Emily Wong , Hye Sun Yun , Xiaoman Zhang , Xiao Yu Cindy Zhang , Hayoung Jeong , Kaveri A. Thakoor

This is an exchange between Jerome Sacks and Donald Ylvisaker covering their career paths along with some related history and philosophy of Statistics.

Methodology · Statistics 2012-07-25 Jerome Sacks , Donald Ylvisaker

We have studied how 2- and 3- dimensional systems made up of particles interacting with finite range, repulsive potentials jam (i.e., develop a yield stress in a disordered state) at zero temperature and applied stress. For each…

Soft Condensed Matter · Physics 2007-05-23 C. S. O'Hern , L. E. Silbert , A. J. Liu , S. R. Nagel

A novel recovery of some important documents related to the Fermi course on neutron physics, held at Los Alamos in 1945, is announced. Its relevance for the effective launch of a British nuclear programme in the early postwar period,…

History and Philosophy of Physics · Physics 2016-09-08 S. Esposito

Motivated by recent interest in the status and consequences of competition between the U.S. and China in A.I. research, we analyze 60 years of abstract data scraped from Scopus to explore and quantify trends in publications on A.I. topics…

Digital Libraries · Computer Science 2020-06-12 Daniel Ish , Andrew Lohn , Christian Curriden

A national survey of physics faculty was conducted to investigate the prevalence and nature of computational instruction in physics courses across the United States. 1246 faculty from 357 unique institutions responded to the survey. The…

Physics Education · Physics 2018-12-26 Marcos D. Caballero , Laura Merner

The article is a lightly edited version of my habilitation thesis at the University Wuerzburg. My aim is to give a self contained, if concise, introduction to the formal methods used when off-line learning in feedforward networks is…

Disordered Systems and Neural Networks · Physics 2007-05-23 Robert Urbanczik

The present work describes a website designed for remote teaching of optical measurements using lasers. It enables senior undergraduate and postgraduate students to learn theoretical aspects of the subject and also have a means to perform…

Physics Education · Physics 2018-03-02 Veena Singh , Richa Dubey , P. K. Panigrahi , K. Muralidhar

The purpose of these lecture notes is to provide readers, who have some mathematical background but little or no exposure to quantum mechanics and quantum computation, with enough material to begin reading the research literature in quantum…

Quantum Physics · Physics 2007-05-23 Samuel J. Lomonaco , jr

Learning with large-scale datasets and information-critical applications, such as in High Energy Physics (HEP), demands highly complex, large-scale models that are both robust and accurate. To tackle this issue and cater to the learning…

Machine Learning · Computer Science 2026-04-20 Abhishek Sawaika , Durga Pritam Suggisetti , Udaya Parampalli , Rajkumar Buyya

Statistics is a uniquely difficult field to convey to the uninitiated. It sits astride the abstract and the concrete, the theoretical and the applied. It has a mathematical flavor and yet it is not simply a branch of mathematics. Its core…

Applications · Statistics 2011-01-06 Michael I. Jordan

A relativistic theory of the Zeeman splitting of hyperfine levels in two-fermion systems is presented. The approach is based on the variational equation for bound states derived from quantum electrodynamics [1]. Relativistic corrections to…

High Energy Physics - Phenomenology · Physics 2008-05-27 Andrei G. Terekidi , Jurij W. Darewych , Marko Horbatsch

In 2006, during a meeting of a working group of scientists in La Jolla, California at The Neurosciences Institute (NSI), Gerald Edelman described a roadmap towards the creation of a Conscious Artifact. As far as I know, this roadmap was not…

Neurons and Cognition · Quantitative Biology 2021-05-26 Jeffrey L. Krichmar

A theoretical study is presented for a simple linear classifier called reference distance estimator (RDE), which assigns the weight of each feature j as P(r|j)-P(r), where r is a reference feature relevant to the target class y. The…

Machine Learning · Computer Science 2013-08-20 Yanpeng Li