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
論文紹介: Sample Reuse via Importance Sampling in I...
Search
Masahiro Nomura
April 09, 2020
Research
320
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
論文紹介: Sample Reuse via Importance Sampling in Information Geometric Optimization / sample_reuse_igo
Masahiro Nomura
April 09, 2020
More Decks by Masahiro Nomura
See All by Masahiro Nomura
ランダム欠損データに依存しない推薦システムのバイアス除去 / towards-resolving-propensity-contradiction-in-offline-recommender-learning
nmasahiro
0
340
転移学習によるハイパーパラメータ最適化の高速化 / warm_starting_cma
nmasahiro
0
2.4k
論文紹介: IRのためのパラメータチューニング / ir-tuning
nmasahiro
0
550
機械学習における ハイパーパラメータ最適化の理論と実践 / hpo_theory_practice
nmasahiro
31
44k
論文紹介 : Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
nmasahiro
1
800
広告とAI(とハイパーパラメータ最適化) / Ad with AI
nmasahiro
1
2.2k
Other Decks in Research
See All in Research
CVPR2026論文紹介_VLMにとって良いvision encoderとは何か?Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
kobayashi31
1
140
「行ける・行けない表」による地域公共交通の性能評価
bansousha
0
160
Data Visualization Tools in the Age of AI
flekschas
0
160
Language and AI
ayaniwa
0
140
量子コンピュータの紹介
oqtopus
0
340
2026-01-30-MandSL-textbook-jp-cos-lod
yegusa
1
1.4k
2026 東京科学大 情報通信系 研究室紹介 (すずかけ台)
icttitech
0
3.9k
YOLO26_ Key Architectural Enhancements and Performance Benchmarking for Real-Time Object Detection
satai
3
820
Can We Teach Logical Reasoning to LLMs? – An Approach Using Synthetic Corpora (AAAI 2026 bridge keynote)
morishtr
1
260
AI Agentの精度改善に見るML開発との共通点 / commonalities in accuracy improvements in agentic era
shimacos
6
1.7k
RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
satai
2
310
Anthropic が提案する LLM の内部状態を自然言語で説明可能にした Natural Language Autoencoders / Natural Language Autoencoders Produce Unsupervised Explanations of LLM Activations
shunk031
0
130
Featured
See All Featured
My Coaching Mixtape
mlcsv
0
150
[SF Ruby Conf 2025] Rails X
palkan
2
1.1k
A Modern Web Designer's Workflow
chriscoyier
698
190k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
610
Efficient Content Optimization with Google Search Console & Apps Script
katarinadahlin
PRO
1
630
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.9k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Build your cross-platform service in a week with App Engine
jlugia
234
18k
Paper Plane
katiecoart
PRO
1
52k
The AI Search Optimization Roadmap by Aleyda Solis
aleyda
1
5.9k
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
780
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
3
170
Transcript
. Sample Reuse via Importance Sampling in Information Geometric Optimization
^ILW1NL Y 18 : I ) ) * ( WP LW WPK ^ 1
• . S RL ?L XL [P 8S UWY L
S RP N P 8 MUWS YPU 7LUSLYWP = YPSP YPU • . OP P OP OPW DU OLP 1 PSUYU P = OP U U =O W • . WCP[ ) (- 75 = (+ L]YL K • . w 87= ʼ • . 28: 1 5 h • . 1 5 z~ 2
• 87= • 87= • • 3
87= • i i i • . s p f
s • w ~n • 1 5 5 . ]ac nʼ s • 28: 71 . ]ac nʼ • w z~ 1 5 ? e A K YL 4
87= • 87= (. • M I M 5
87= • zrzf5EM ] F sm • y • z~
s n • z~ 5EB ] F 6
87= • zrzf5EM ] F sm • y • z~
s n • z~ 5EB ] F 7
87= • zrzf5EM ] F sm • y • z~
s n • z~ 5EB ] F 8
87= • zrzf5EM ] F sm • y • z~
s n • z~ 5EB ] F 9
87= • now f5EB ] F w ʼ • ~
• 87= ). • N I S • . • : KP[s • i rv w 10
87= • • d ]ac r • • 5EB ]
F zfc 11
87= • • d ]ac r • • 5EB ]
F zfc • d ~ sm 12
87= • 87= d n~n • PYLW YPU x ~~z
~ f t~n n • ~ ~ 13
8S UWY L S RP N • ( G /
( f r s • zʼn . ] b G N ] ∫ " # %& # '# • i . G r d • n 8 . • A IP XLKr|f G zʼ s n 14
• 28: . ]ac nʼ87= • • 1 5 .
]ac nʼ87= • z n z k 15
. 28: 16 • = L ] . ( ʼ
s ~(s • :L KP N= LX . r (s zʼ s ~(s
. 1 5 17 • 5RRP XUPK ?UXL IWU .
• 1 RL^ ? XYWPNP . • ? XYWPNP s1 RL^ s n
. 1 5 18
• 87= ʼ i i • 28: 1 5 •
8S UWY L S RP N • 28: 1 5 z~ • ? XYWPNP zr ʼsf • • 19