Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
The beautiful world of evolutionary computation...
Search
S.Shota
October 09, 2017
Science
0
1.2k
The beautiful world of evolutionary computation made by probability and statistics
第二回Shot A Talkで使用したスライドになります
第二回Shot A Talk イベントページ:
https://shot-a-talk.connpass.com/event/60259/
S.Shota
October 09, 2017
Tweet
Share
More Decks by S.Shota
See All by S.Shota
[ICLR/ICML2019読み会] Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
satuma777
2
3.3k
論文紹介:Neural Architecture Search with Bayesian Optimisation and Optimal Transport [Kandasamy et al., NIPS 2018]
satuma777
0
1.1k
Path-Level Network Transformation for Efficient Architecture Search (ICML2018読み会)
satuma777
5
1.3k
論文紹介:Efficient Architecture Search by Network Transformation [Cai et al., AAAI-2018]
satuma777
0
1.1k
新ラボ生向けチュートリアル:文献調査(サーベイ)の仕方
satuma777
0
1.2k
編入試験への準備と編入後の生活 (Ver.2018)
satuma777
0
810
論文紹介:Gradient Boosted Feature Selection
satuma777
0
1.1k
論文紹介:Neural Architecture Search with Reinforcement Learning
satuma777
0
1.7k
論文紹介:Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves
satuma777
0
1.2k
Other Decks in Science
See All in Science
データマイニング - ノードの中心性
trycycle
PRO
0
320
サイコロで理解する原子核崩壊と拡散現象 〜単純化されたモデルで本質を理解する〜
syotasasaki593876
0
140
機械学習 - ニューラルネットワーク入門
trycycle
PRO
0
910
MCMCのR-hatは分散分析である
moricup
0
540
Optimization of the Tournament Format for the Nationwide High School Kyudo Competition in Japan
konakalab
0
140
Celebrate UTIG: Staff and Student Awards 2025
utig
0
400
高校生就活へのDA導入の提案
shunyanoda
0
6.1k
防災デジタル分野での官民共創の取り組み (1)防災DX官民共創をどう進めるか
ditccsugii
0
440
Accelerating operator Sinkhorn iteration with overrelaxation
tasusu
0
140
データマイニング - グラフ構造の諸指標
trycycle
PRO
0
230
Hakonwa-Quaternion
hiranabe
1
170
データマイニング - グラフデータと経路
trycycle
PRO
1
260
Featured
See All Featured
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
1
410
The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
inesmontani
PRO
3
2.8k
Code Reviewing Like a Champion
maltzj
527
40k
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
520
Testing 201, or: Great Expectations
jmmastey
46
7.8k
The Invisible Side of Design
smashingmag
302
51k
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
0
67
Believing is Seeing
oripsolob
0
16
Collaborative Software Design: How to facilitate domain modelling decisions
baasie
0
100
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.3k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.6k
For a Future-Friendly Web
brad_frost
180
10k
Transcript
5IFCFBVUJGVMXPSMEPGFWPMVUJPOBSZDPNQVUBUJPO NBEFCZQSPCBCJMJUZBOETUBUJTUJDT 然桦ה鹌⻉鎘皾 _1ZUIPOח״知⽃侧⦼鎘皾_ 4IPUB4BJUP 俕谏 绤實 .BTUFSˏT$PVSTF4UVEFOU JO:PLPIBNB/BUJPOBM6OJWFSTJUZ *OUFMMJHFOU$PNQVUJOH-BC
1*4IJOJDIJ4IJSBLBXB -JLF .BDIJOF-FBSOJOH&WPMVUJPOBSZ$PNQVUBUJPO 8FC"QQMJDBUJPO1ZUIPO"JLB ,PCBZBTIJ
8IBUJT&WPMVUJPOBSZ$PNQVUBUJPO &$ • 1SPCBCJMJUZBOE4UBUJTUJDTBSFVTFEUP BQQSPYJNBUFCJPMPHJDBMFWPMVUJPO • %JTUJOHVJTICFUXFFOQSPCBCJMJUZEJTUSJCVUJPOT BDDPSEJOHUPUBSHFUGVODUJPO •
&$JTBQPXFSGVMGPS#MBDLCPY PQUJNJ[BUJPO ˏˏFWPMVUJPOBSZDPNQVUBUJPOJT BGBNJMZPGBMHPSJUINTGPSHMPCBMPQUJNJ[BUJPO JOTQJSFECZ CJPMPHJDBMFWPMVUJPO˒ IUUQTFOXJLJQFEJBPSHXJLJ&WPMVUJPOBSZ@DPNQVUBUJPO 4FF0DU
5IFXPSMEJTGJMMFEXJUICMBDLCPYFT #MBDL#PY1SPCMFN 4ZTUFN x y f ( x )
*OQVU 0VUQVU 0CTFSWBCMF /PU0CTFSWBCMFPS /PU%JGGFSFOUJBM 0QUJNJ[FUIFPVUQVUCZDPOUSPMMJOHUIFJOQVU x y
5IFXPSMEJTGJMMFEXJUICMBDLCPYFT "QQMJDBUJPOPG&$ • %FTJHOPG'SPOUOPTFJO#VMMFUUSBJO /TFSJFT • 3FEVDFESVOOJOHOPJTFBOE4QFFEVQ IUUQUSFOEZOJLLFJCQDPKQBSUJDMFDPMVNO 4FF0DU
$."&44UBUFPGUIFBSU3FBMWBMVFE&$ • *GJOQVUJT3FBMWBMVFEWFDUPS XFVTFT (BVTTJBO%JTUSJCVUJPO • $."&4JTUIFTUBUFPGUIFBSU&$CBTFEPO (BVTTJBO%JTUSJCVUJPO 4ZTUFN
x y f ( x ) 4BNQMJOH 6QEBUF%JTUSJCVUJPO (BVTTJBO
$."&44UBUFPGUIFBSU3FBMWBMVFE&$ 3FRVJSFEPG$PNQMFYNBUSJY WFDUPSPQFSBUJPOT IUUQTXXXMSJGS_IBOTFOHFDDP$."&4UVUPSJBMQEG 4FF0DU
&WPMUJFS1ZUIPO*NQMFNFOUBUJPOPG&$ • IUUQTHJUIVCDPNTBUVNBFWPMUJFS • HJWFNFBTUBS⭐ • &WPMUJFS QSPWJEFTBTJNQMFDPNNBOE"1* •
*NQMFNFOUUIFOFXFS&$CBTFEPO4UBUJTUJDBOE *OGPSNBUJPO(FPNFUSZ • 6TFGBTUOVNFSJDBMMJCSBSZˑ/VNQZ˒ • * QMBOUPTVQQPSU(16PQFSBUJPOJOUIFGVUVSF
&WPMUJFS1ZUIPO*NQMFNFOUBUJPOPG&$