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1. Sparse methods for machine learningTheory and algorithms Francis Bach Willow project, INRIA - Ecole Normale Sup´rieuree NIPS Tutorial - December 2009Special thanks to…
Noname manuscript No. will be inserted by the editor Improved Sparse Fourier Approximation Results Faster Implementations and Stronger Guarantees Ben Segal · M. A. Iwen…
Sparse methods for machine learning Theory and algorithms Francis Bach Willow project, INRIA - Ecole Normale Supérieure Ecole d’été, Peyresq - June 2010 Special thanks…
Dimensionality reduction via sparse matrices Jelani Nelson Harvard September 19 2013 based on works with Daniel Kane Stanford and Huy Nguy˜̂en Princeton Metric Johnson-Lindenstrauss…
Sect 5.4: Eigenvalues of I & Principal Axis Transformation Definition of inertia tensor (continuous body): Ijk ∫Vρ(r)[r2δjk - xjxk]dV Clearly, Ijk is symmetric:…
Improved Average-Case Lower Bounds for DeMorgan Formula Size Matching Worst-Case Lower Bound Ilan Komargodski∗ Ran Raz∗ Avishay Tal∗ Abstract We give a function h :…
Improved Risk Bounds in Isotonic Regression Sabyasachi Chatterjee, Adityanand Guntuboyina∗ and Bodhisattva Sen† Yale University, University of California at Berkeley…
The Annals of Probability 2017 Vol 45 No 2 1190–1217 DOI: 10121415-AOP1084 © Institute of Mathematical Statistics 2017 EXTREMAL CUTS OF SPARSE RANDOM GRAPHS BY AMIR DEMBO1…
Introduction The Extended Lee Weight and Its Gray Map Singleton Bounds For Codes Over Zps Kernel and Independence of φL(C) Linearity and Duality of φL(C) References
SIAM J. OPTIM. c© 2007 Society for Industrial and Applied Mathematics Vol. 18, No. 1, pp. 1–28 APPROXIMATION BOUNDS FOR QUADRATIC OPTIMIZATION WITH HOMOGENEOUS QUADRATIC…
Simple and explicit bounds for multi-server queues with universal 1 1−ρ and better scaling Yuan Li Georgia Institute of Technology, [email protected] David A. Goldberg…
Moral Hazard Julio Dávila 2009 Julio Dávila Moral Hazard Principal-agent problem 1 two individuals: a ”principal” and an ”agent” 2 the principal gets a surplus…
Exploratory and Confirmatory Factor Analysis Michael Friendly Psychology 6140 ξ X1λ1 X2 λ2 z1 z2 Course Outline 1 Principal components analysis FA vs. PCA Least squares…
Eurographics Symposium on Geometry Processing 2013 Yaron Lipman and Richard Hao Zhang Guest Editors Volume 32 2013 Number 5 Sparse Iterative Closest Point Sofien Bouaziz…
Annals of Mathematics 0 2006 1–47 Bounds on Faltings’s delta function through covers By Jay Jorgenson and Jürg Kramer* Abstract Let X be a compact Riemann surface of…
Large Deviation Bounds A typical probability theory statement: Theorem The Central Limit Theorem Let X1, . . . ,Xn be independent identically distributed random variables…
Provable Bounds for Learning Some Deep Representations Sanjeev Arora∗ Aditya Bhaskara † Rong Ge‡ Tengyu Ma§ October 24 2013 Abstract We give algorithms with provable…
SFB-Report 02-21 J Kepler University Linz November 2002 Degree Bounds to Find Polynomial Solutions of Parameterized Linear Difference Equations in ΠΣ-Fields∗ Carsten…
Principal Role of Contact-Force Distribution in Determining the Thermal Conductivity of Supported Graphene Yongjin Lee Alexander J Pak Eunsu Paek and Gyeong S Hwang* McKetta…
Maximum Principal Stress Theory (W. Rankin’s Theory- 1850) – Brittle Material The maximum principal stress criterion: • Rankin stated max principal stress theory as…