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Distributions of Angles in Random Packing on Spheres

Distributions of Angles in Random Packing on Spheres

2 June 2013
Tony Cai
Jianqing Fan
Tiefeng Jiang
ArXivPDFHTML

Papers citing "Distributions of Angles in Random Packing on Spheres"

18 / 18 papers shown
Title
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee
Youngdo Lee
Takuma Seno
Donghu Kim
Peter Stone
Jaegul Choo
63
1
0
24 Feb 2025
SQ Lower Bounds for Learning Bounded Covariance GMMs
SQ Lower Bounds for Learning Bounded Covariance GMMs
Ilias Diakonikolas
D. Kane
Thanasis Pittas
Nikos Zarifis
27
0
0
22 Jun 2023
Nonparametric Measure-Transportation-Based Methods for Directional Data
Nonparametric Measure-Transportation-Based Methods for Directional Data
Marc Hallin
Han Liu
Thomas Verdebout
OT
26
10
0
20 Dec 2022
A Perturbation Bound on the Subspace Estimator from Canonical
  Projections
A Perturbation Bound on the Subspace Estimator from Canonical Projections
Karan Srivastava
Daniel L. Pimentel-Alarcón
21
0
0
28 Jun 2022
Prompt-aligned Gradient for Prompt Tuning
Prompt-aligned Gradient for Prompt Tuning
Beier Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
186
271
0
30 May 2022
Minimax Optimal Quantization of Linear Models: Information-Theoretic
  Limits and Efficient Algorithms
Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms
R. Saha
Mert Pilanci
Andrea J. Goldsmith
MQ
24
3
0
23 Feb 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained
  Encoders
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
Tianshuo Cong
Xinlei He
Yang Zhang
21
52
0
27 Jan 2022
On a class of Sobolev tests for symmetry of directions, their detection
  thresholds, and asymptotic powers
On a class of Sobolev tests for symmetry of directions, their detection thresholds, and asymptotic powers
Eduardo García-Portugués
D. Paindaveine
Thomas Verdebout
29
4
0
23 Aug 2021
Hopfield Networks is All You Need
Hopfield Networks is All You Need
Hubert Ramsauer
Bernhard Schafl
Johannes Lehner
Philipp Seidl
Michael Widrich
...
David P. Kreil
Michael K Kopp
G. Klambauer
Johannes Brandstetter
Sepp Hochreiter
24
414
0
16 Jul 2020
Learning Rates as a Function of Batch Size: A Random Matrix Theory
  Approach to Neural Network Training
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
Diego Granziol
S. Zohren
Stephen J. Roberts
ODL
37
48
0
16 Jun 2020
Limiting behavior of largest entry of random tensor constructed by
  high-dimensional data
Limiting behavior of largest entry of random tensor constructed by high-dimensional data
Tiefeng Jiang
Junshan Xie
22
8
0
28 Oct 2019
Subspace clustering without knowing the number of clusters: A parameter
  free approach
Subspace clustering without knowing the number of clusters: A parameter free approach
V. Menon
Gokularam M
Sheetal Kalyani
20
14
0
10 Sep 2019
Asymptotic Analysis for Extreme Eigenvalues of Principal Minors of
  Random Matrices
Asymptotic Analysis for Extreme Eigenvalues of Principal Minors of Random Matrices
T. Tony Cai
Tiefeng Jiang
Xiaoou Li
11
8
0
21 May 2019
Frustratingly Easy Meta-Embedding -- Computing Meta-Embeddings by
  Averaging Source Word Embeddings
Frustratingly Easy Meta-Embedding -- Computing Meta-Embeddings by Averaging Source Word Embeddings
Joshua Coates
Danushka Bollegala
6
86
0
14 Apr 2018
Fast, Parameter free Outlier Identification for Robust PCA
Fast, Parameter free Outlier Identification for Robust PCA
V. Menon
Sheetal Kalyani
33
2
0
13 Apr 2018
Detecting the direction of a signal on high-dimensional spheres:
  Non-null and Le Cam optimality results
Detecting the direction of a signal on high-dimensional spheres: Non-null and Le Cam optimality results
D. Paindaveine
Thomas Verdebout
28
7
0
07 Nov 2017
Power in High-Dimensional Testing Problems
Power in High-Dimensional Testing Problems
Anders Bredahl Kock
David Preinerstorfer
33
22
0
13 Sep 2017
Testing uniformity on high-dimensional spheres against monotone
  rotationally symmetric alternatives
Testing uniformity on high-dimensional spheres against monotone rotationally symmetric alternatives
Christine Cutting
D. Paindaveine
Thomas Verdebout
34
21
0
07 Feb 2015
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