NishiSearch

Web This site Trusted

30 result(s) for “if com favor site code web de site lemma world site www casting com br site:arxiv.org” of 73 matched · page 2 · 842 ms

Scope: Nishi’s own index (our crawl + Common Crawl) — not the whole live web. Some sites block all automated crawlers (anti-bot walls), so their pages may be absent here even though we never filter lawful content.

Did you mean if com favor site code web de site lemmy world site www casting com br site:arxiv.org?

Freshness: no result on this page carries a fetch time yet (indexed before the fetch epoch was stored beside the doc)

%PDF-1.5 %� 157 0 obj > stream xÚ�[[“«F’~÷¯ÐËÆÒ-LQU\Îy²=ö„wÖ;Ž™Ž˜ˆ±ý€

https://arxiv.org/pdf/2006.00064
„`Ì1„…6ùܦë·Ô†ôÜ_—&À|ãfã( µ”ý âÎ0ó#Éó�ÊDÜô-àã}ÊÆàüðöÅ8ëV"KÅY˜HŒïí1‰­ÀÞ£;m Œs¸ïhõÑʳT“¤Â4Ót#If£9 ÷ój»7* )ߌٓÀøß žëÆuW†4ø$_zM†4`¯žrçò- 9 “ܪÄʇãüÈñŽL˜J– íFÒ ©9$jÓÎRÅüG¾�qk"ÁlêX¤jë‚

%PDF-1.5 %� 138 0 obj > stream xÚ­YK�Ü6¾Ï¯ÐmÕ€[‘¨7|òI�Åx1›�MN‰

https://arxiv.org/pdf/2309.08431
=͵Z’õðxþýÖ‹zôh{‘K«X$«Èbñ«*¶ïÊAÃÔqK¸‡ õr•òºúùp Â/jü€âÒÕú-r2°½FÙ€R¾E)ü¦QàôYkƯ?ß8IÚ»ª¸ˆ|=Š8–ÁHG#2Æ7Ëv•¯‚+)(á0T|åQ Sâ èýífÁE`bètiNÏÜÍÎ#4ŽzÏ�t-¿î¨�Ön¦jf 1KçØ­p¸Ôˆ´u«S\Z亻A}Ò B0æ`²  6“Æ@BÁ+ÂKÊ�¦)Û‹.#NŒXÏëR�

‹œ!YfìZ TSçž�µŠJ}¶ÒÇjkG§n @@¶ÔjE«€ ²$â“°†-‹–)h)ÐÖVÀRE@iL $

https://arxiv.org/src/2405.20232
…qa-��ýy>‚râ@©¥¥5ÇDEÝøÃeè_à_à"_ýD”“ƒxmðCôÜOÁ²âÄ—‘

‹k1aì}kw¹‘h¾^ÿ \&>²ç’´Þ¶•L6ÔÖlIÖJ²�Iœ“€Ý ±L?$S6"ú>LDY2eÙt"ÚŒG

https://arxiv.org/src/2104.08691
t7x‡eq›Ž9 GËßCS·æÀ‘£rhÏÑIÖ0ÏP‘¹Ì¬if#iš¹õq¬¥¾ÒŽÆz“ÊXë"]FcÁìçfï:ßÝbáT�ãNô»˜g·ÄÎLLaŽí©"§tÑ�

Report GitHub Issue

https://arxiv.org/html/2608.02942v1
Across four mathematical reasoning and code-generation benchmarks, OPTD consistently improves the quality–efficiency trade-off and attains the strongest overall quality-constrained AUP among the evaluated few-step baselines

Optimal testing in a class of nonregular models

https://arxiv.org/html/2403.16413v3
For testing a simple null hypothesis against a simple alternative one, Neyman-Pearson’s fundamental lemma yields an optimal power property of the likelihood ratio test even for the case of parameter-dependent support

Probing Character-level Transformers for the Spanish L-shaped Morphome

https://arxiv.org/html/2608.03452v1
de Abstract When a transformer learns an irregular morphological pattern, what has it learned

Mathematical Finance Apr 2021

https://arxiv.org/list/q-fin.MF/2021-04
A lacuna in the proof of the old Lemma 3

Asymptotic Equivalence of Immediate and Deferred Acceptance

https://arxiv.org/html/2607.24970v2
That total number of applications mirrors the classical coupon-collector problem: if each breakfast cereal box contains one of nn equally likely coupons, how many cereal boxes do I need to buy to collect all nn coupons

Activation-Guided Neuron Intervention to Induce Alzheimer’s-Related

https://arxiv.org/html/2608.03067v1
7Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain

A Heterogeneous Spatiotemporal GARCH Model: A Predictive Framework for

https://arxiv.org/html/2508.20101v1
However, in real-world financial systems, individual assets are not isolated

1. Introduction

https://arxiv.org/html/2608.02909v1
In practice, most researchers use the generated variables “as is� on the right-hand side of the regression, as if they captured the true, latent variable of interest

Existence of Richter–Peleg representation for general preferences

https://arxiv.org/html/2508.08980v3
A relation admits such a representation if and only if it is strongly acyclic and its transitive closure is separable, where separability means embeddability in a preorder possessing a countable separating stratification—a countable family of pairwise disjoint subsets, none containing a strictly ranked pair, that

Learning to Control Unknown Strongly Monotone Games

https://arxiv.org/html/2407.00575v3
Even worse, the manager would need to collect the parameters periodically if they are time-varying, and then solve the large-scale optimization problem again

United We Stand: Decentralized Multi-Agent Planning With Attrition

https://arxiv.org/html/2407.08254v2
We prove that our approach guarantees that the average joint action of all agents converges to a Nash equilibrium (NE) if every agent applies the same RM procedure in any cooperative game with a submodular utility function

Learning Equilibrium with Estimated Payoffs in Population Games

https://arxiv.org/html/2407.06328v2
In such dynamic game settings, if agents have limited capabilities for observing the game’s state, they must estimate it and use this estimate to infer expected payoffs and select one of available strategies

Untitled Document

https://arxiv.org/html/2607.28294v1
A second scheme preserves the realized count and sets the number of events in the bootstrap world as n∗=n​(T)n^{\ast}=n(T)

Rainfall is rough

https://arxiv.org/html/2607.27099v1
Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to

Finite-Time Analysis of Asynchronous Multi-Agent TD Learning

https://arxiv.org/html/2407.20441v1
However, in real-world multi-agent systems, inter-node communication imposes strong constraints, such as limited link capacity and transmission delays [4, 5, 6]

You’ve Got to be Efficient: Ambiguity, Misspecification and

https://arxiv.org/html/2604.05327v4
For these problems, it is therefore always optimal for the decision-maker to proceed as if the likelihood were correctly specified and select the resulting optimal decision rule

Eliminating Majority Illusion is Easy

https://arxiv.org/html/2407.20187v1
If there are more blue nodes than red nodes then we say blue is the majority

Forthcoming in SIAM Journal on Financial Mathematics Decentralised

https://arxiv.org/html/2309.08431v3
Concentration risk refers to the decrease in fee revenue if the marginal exchange rate (akin to the midprice in a limit order book) in the pool exits the LP’s range of liquidity

1 Introduction

https://arxiv.org/html/2407.15077v2
2 Problem Definition 3 Method 3.1 Monotonic Improvement of B2MAPO scheme 3.2 B2MAPO Framework 3.2.1 Batch Sequence Generation Layer 3.2.2 Batch by Batch Policy Optimization Layer 4 DAG-based B2MAPO Algorithm 4.1 Hierarchical DAG

Stochastic Games with Minimally Bounded Action Costs

https://arxiv.org/html/2407.18010v2
1 Introduction 2 Formulation 3 Existence of a Value and Saddle Point Equilibrium 4 Learning in Unknown Environments 4.1 Convergence using Linear Function Approximators 5 Intervention Budget Constraints 6 Discussion on Subcases 7 Related

Computer Vision and Pattern Recognition

https://arxiv.org/list/cs.CV/new
02713 [pdf, html, other] Title: Quo Vadis, World Modeling

%PDF-1.5 %¿÷¢þ 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream

https://arxiv.org/pdf/2506.01844
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient RoboticsMustafa ShukorDana AubakirovaFrancesco CapuanoPepijn KooijmansSteven PalmaAdil ZouitineMichel AractingiCaroline PascalMartino RussiAndres MarafiotiSimon

%PDF-1.3 %Äåòåë§ó ÐÄÆ 3 0 obj > stream x½\ÙrIv}ÇWÔÌ1*¡vTûElŠͱ¶&¨;

https://arxiv.org/pdf/2407.01722
=–ΣÒ+é›èûé'é×è=ô× 5†Ã�ÆHgHåŒÆ^Æ Æ5ÆcÆ�ЖЭНJ¬Š@¥De¥Ê

Computational Geometry

https://arxiv.org/list/cs.CG/new
PR) The Johnson--Lindenstrauss lemma asserts that every set of $n$ points in $d$-dimensional Euclidean space embeds into $O(\varepsilon^{-2}\log n)$-dimensional Euclidean space with distortion at most $1+\varepsilon$

Effort-Centric Fairness in Lending Decisions

https://arxiv.org/html/2607.28847v1
2 Proof of Lemma 1 (Optimality of Boundary Crossing) D

Hardware Architecture

https://arxiv.org/list/cs.AR/new
Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Hardware Architecture New submissions Cross-lists Replacements See recent articles Showing new listings for Monday, 17 August 2026