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30 result(s) for “okapi bm25 site hotchips pp site hotchips pp site en wikipedia org site:arxiv.org” of 126 matched · page 4 · 606 ms

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Optimal Execution with Passive Market Impact

https://arxiv.org/html/2607.28323v1
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arXiv is now an independent nonprofit! Learn more ×

https://arxiv.org/html/2609.03159v1
Description: arXiv is now an independent nonprofit

Learning to Control Unknown Strongly Monotone Games

https://arxiv.org/html/2407.00575v3
1 Introduction 1.1 Related Work 1.2 Outline and Notation 2 Problem Formulation 2.1 Applications 2.1.1 Quadratic Global Objective 2.1.2 Weighted Resource Allocation Games 3 Game Control Algorithm 3.1 Performance Guarantees 4 Convergence

Producing Policy Recommendations: from Statistical Decision Theory to

https://arxiv.org/html/2607.29281v2
Empirical Practice 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?

Effort-Centric Fairness in Lending Decisions

https://arxiv.org/html/2607.28847v1
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Finance-Informed Neural Network: Learning the Geometry of Option Pricing

https://arxiv.org/html/2412.12213v2
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https://arxiv.org/src/2006.03720
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https://arxiv.org/src/2405.20232
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https://arxiv.org/src/2006.02893
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https://arxiv.org/pdf/2608.01934
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https://arxiv.org/pdf/2407.02510
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Preying on Leveraged ETFsPreliminary and incomplete. This project was

https://arxiv.org/html/2608.03703v1
begun on July 20, 2026; the present version is dated August 4, 2026. Claude Opus 5 and Fable 5 provided research assistance throughout, spanning code development, data construction and empirical analysis, and the drafting of the manuscript.

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https://arxiv.org/src/2608.03883
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https://arxiv.org/src/2006.01128
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https://arxiv.org/src/2006.01048
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https://arxiv.org/src/2303.12712
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https://arxiv.org/pdf/2407.01722
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https://arxiv.org/src/2608.03882
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https://arxiv.org/src/2006.01598
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https://arxiv.org/pdf/2608.02935
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https://arxiv.org/src/2608.04008
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https://arxiv.org/pdf/2006.00342
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https://arxiv.org/pdf/2407.00273
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https://arxiv.org/src/2006.01354
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https://arxiv.org/pdf/2508.04671
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https://arxiv.org/src/2006.01402
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https://arxiv.org/pdf/2608.02666
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https://arxiv.org/pdf/2608.02867
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Computation and Language

https://arxiv.org/list/cs.CL/new
2 pp, exceeding MemSearch reader scaling (+10

[2608.03883] DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM

https://arxiv.org/abs/2608.03883
Our systems combine sparse BM25 retrieval, evidence-aware rescoring for self-referential symptom reports, embedding-based reranking, query-prototype expansion, and LLM-based reranking