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Did you mean if com mojeek site en wikipedia org site lemmy would site article ru site:arxiv.org?

Freshness: newest result fetched 25 d ago · median age of these results 25 d · 1 of 30 carry a fetch time

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https://arxiv.org/pdf/2006.02318
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https://arxiv.org/pdf/1811.12628
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Approximating Choice Data by Discrete Choice Models

https://arxiv.org/html/2205.01882v5
2 Details of the DVD Dataset M Additional Empirical Application: Fishing-site Choice M

Report GitHub Issue

https://arxiv.org/html/2607.22511v2
× 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 Abstract Download PDF

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https://arxiv.org/pdf/2607.27188v1
) /Title (Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2608.02764
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https://arxiv.org/pdf/2608.03063
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https://arxiv.org/pdf/2608.02122
) /Title (DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2608.03883
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https://arxiv.org/pdf/2508.11152
com three Proceedings of ACM Conference (Conference'17) book 1 1 9 9 Tianjiao ZhaoJingrao LyuStokes JonesHarrison GarberStefano PasqualiDhagash Mehtahttp://arxiv

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https://arxiv.org/pdf/2407.00125
) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2608.01785
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Condensed Matter

https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries

Report GitHub Issue

https://arxiv.org/html/2608.02609v1
3 Tablet Renderer 4 Evaluation En→\rightarrowAk evaluation methodology

Existence of Richter–Peleg representation for general preferences

https://arxiv.org/html/2508.08980v3
org perpetual non-exclusive license arXiv:2508

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

https://arxiv.org/html/2604.05327v4
This version: I would like to thank Xu Cheng, Frank Diebold, Wayne Gao, George Mailath, and seminar participants at Chicago Booth, Paris Econometrics Seminar, Toulouse School of Economics, and the University of Pennsylvania for valuable discussions and comments that substantially improved this article

Stochastic Choice with Advertising

https://arxiv.org/html/2608.03504v1
org perpetual non-exclusive license arXiv:2608

Bandwidth-Free Inference for Recursive Nonlinear Impulse Response

https://arxiv.org/html/2608.02943v1
org perpetual non-exclusive license arXiv:2608

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https://arxiv.org/pdf/2609.18842
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https://arxiv.org/pdf/2608.02244
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https://arxiv.org/pdf/2608.02694
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https://arxiv.org/pdf/2608.03095
™æ×ÏéÖÖ’W“[G­³÷éïtËaÄ!q$|� I¤ Pˆ`$ž¥Éè :�ïš ¾^�á, k*̾Æè(JÎÑß[Eô“N‡ß_ëaô]õ߯€÷àl€¶ÆE1Í_Á0�wÒl¼Ãµ8p v¨Äz3lœÄwQ’G¥ÈÜYcñCt—Þß§Iîä'%O|{ ø@ìDYšo肋áö`%E\ “ å¶z\A@ݼOîÒ¡u;ð>Ͼ®VlÅ`¸¤WI|gË‹ÖuWÖ’sbc§ Ÿó"º$ßSd¥Î²a”Y

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https://arxiv.org/src/2211.10435
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https://arxiv.org/pdf/2608.04008
FiŹXÃIöa-«5 Ð1–ÐŽx²Àšðpa t"ƒë0§p’íx‰IR&QŠ™“oÆ*$A€› &4”‹Ø9Æif’@¡ ³†�ÒMÔ5$;в

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https://arxiv.org/pdf/2608.00328
f±¹¹¿åÞ³f6SŠÀ'ß(@ˆÒz´y®ÃŸ°en÷©´7ûL0lBÐZ2½ 8žÓ[¦�8v7ÝæÝvÆ^µ�ÌéU’QQÓ(D‘¬z

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https://arxiv.org/pdf/2608.00426
’W¥aÔ&‹·ËsöNìB¢Ç× ™tìiþä2û BO½æÀÏ©IБSWŒ7‚ð –ì’‹ÝRUÖy6øÃTäÄ yuˆ9¿7ì–­á'U

Optimal testing in a class of nonregular models

https://arxiv.org/html/2403.16413v3
org perpetual non-exclusive license arXiv:2403

On the Complexity of Learning to Cooperate with Populations of Socially

https://arxiv.org/html/2407.00419v1
Two natural assumptions in such settings are that: 1) all agents in the population are individually rational learners, and 2) when any two members of the population are paired together, with high-probability they will achieve at least the same utility as they would under some Pareto efficient equilibrium strategy

Machine Learning Dec 2022

https://arxiv.org/list/cs.LG/2022-12
2001-2004 Showing up to 50 entries per page: fewer | more | all [1] arXiv:2212

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