Model Selection

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11 papers in the last four weeks, up 267% on the four weeks before. 0.1% of all new papers.

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  1. Evidence-Gated Research: Statistically Controlled Model Adoption in Adaptive Search

    Oct 1, 2026Yifan GuoFalse Discovery RateModel Selection

    Department of Applied Mathematics and Statistics Stony Brook University

  2. Which LLM to pick? Online Active Model Selection for Large Language Models

    Oct 1, 2026Alessandro Turrin, Patrik Okanovic, Torsten Hoefler +1Model SelectionStreaming

    TU Delft · ETH Zurich

  3. In CEM, a World Model Is Also a Proposal Mechanism

    Oct 1, 2026Oliver Obst, Frieder StolzenburgModel SelectionWorld Models

    UNSW Sydney · Harz University of Applied Sciences

  4. Redundancy Meets Synergy: Dependency-aware Expert Selection for MoE via Submodular Optimization

    Sep 30, 2026Zheng Lin, Shaoke Fang, Yuxin Zhang +6Mixture-Of-ExpertsLocalized Lora-Moe

    Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg · Department of Computer Science, Peking University, China · Institute of Space Internet, Fudan University, China +4

  5. A Generalisation Signal Need Not Be a Model-Selection Signal

    Sep 30, 2026Aditya Nagarsekar, M P Ashish Bhat, Aadi Nesarkar +5Model SelectionSpearman Correlation

    Department of CS&IS, BITS Pilani, K K Birla Goa Campus · LexisNexis Legal & Professional · Center for AI and Supercomputing, Mahindra University

  6. Visual Anomaly Synthesis for Model Selection in Data Scarcity

    Sep 29, 2026Daniel Pröll, Thomas Kraxner, Tobias Schaefer +1Model Selection

    Digital Factory Vorarlberg GmbH, Dornbirn, Austria · University of Salzburg, Salzburg, Austria · illwerke vkw AG, Bregenz, Austria +1

  7. Benchmarking Automatic Speech Recognition Tools for Iberian Languages

    Sep 29, 2026Fernando López, Pablo Gómez, David Solans +2Automatic Speech Recognition EvaluationMultilingual Automatic Speech Recognition

    Telefónica Innovación Digital, Spain · Universidad Autónoma de Madrid, Spain

  8. Calibrated Derivative-Process Sensitivity for Gaussian-Process Variable Selection

    Sep 27, 2026Jia CaiGaussian ProcessFalse Discovery Rate

    Department of Statistics, George Mason University Fairfax, Virginia, USA

  9. How Sensitive Are LLM Leaderboard Claims to Hidden Model Selection?

    Sep 23, 2026Chen Yang, Xianyang Zhang, Jun ChenLeaderboardModel Selection

    Department of Statistics, Texas A&M University · Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic

  10. Can We Predict Anomaly Detection Performance from Embedding-Space Geometry?

    Sep 22, 2026Kevin Wilkinghoff, Zheng-Hua TanArea Under The Receiver Operating Characteristic CurveDetection Performance

    Department of Electronic Systems, Aalborg University, Denmark · Pioneer Centre for Artificial Intelligence, Denmark

  11. How Many Labels Does Model Choice Need? Certificates and Budgets for Selective Prediction

    Sep 16, 2026Tetsuji KuboyamaModel SelectionConfidence Intervals

    Computer Centre, Gakushuin University

  12. ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize

    Sep 3, 2026Lihao Liu, Peng Tang, Kunwar Yashraj Singh +1Automatic Prompt OptimizationInstruction-Tuned Models

    AWS Agentic AI

  13. How to Spend Your Oracle Budget: Practical Guidance for Protein Structure Prediction Models

    Aug 12, 2026Aleksandra Kalisz, Jack Simons, Krisztina Sinkovics +4Independent-Pool Single-Draw OracleProtein Structure Prediction

    InstaDeep Ltd · University of Oxford · Lancaster University

  14. SoftMCC: An MCC-Brier Calibration Bridge for Threshold-Free Model Selection under Class Imbalance

    Aug 10, 2026Özkan CanayModel SelectionImbalanced Classification

    Department of Information Systems and Technologies Faculty of Computer and Information Sciences Sakarya University, Esentepe Campus 54050 Serdivan, Sakarya, Türkiye

  15. HugSelect: An Explainable Multi-Criteria Decision-Support Framework for foundation-model selection

    Aug 8, 2026Alireza Joonbakhsh, Arda Canser Adalı, Slinger Jansen +2Model SelectionFoundation Model

    Shiraz University · Shiraz University, Shiraz, Iran · Utrecht University +3

  16. Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection

    Aug 6, 2026Yuewei Sun, Lang Qin, Zechuan Tian +11Generalist Vision--Language--ActionReactive

    ACSLab, Huawei Technologies · Southern University of Science and Technology

  17. Harnessing the Wisdom of LLM Crowds through Complementarity-Driven Iterative Collaboration

    Jul 31, 2026Yanbin Fang, Xuan Wei, Wei ChenModel Selection

    Business School Chinese University of Hong Kong, Shanghai, China · Antai College of Economics and Management Shanghai Jiao Tong University, Shanghai, China · School of Business University of Connecticut, Stamford, CT, US

  18. Who Wins Where? Conformal Model Comparison for Local Superiority

    Jul 31, 2026Yi Zhou, Baishi Li, Xuan Yao +1Conformal InferenceModel Selection

    Asian Institute of Digital Finance, National University of Singapore

  19. An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks

    Jul 30, 2026Sheng Lun Christine Cao, Destenie Nock, Alex DavisDiscrete Choice ModelsPreference Learning

    Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, Canada · Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA · Department of Civil Engineering, Carnegie Mellon University, Pittsburgh, PA, USA +1

  20. Search Strategies for Optimal Classification and Regression Trees

    Jul 30, 2026Jacobus G. M. van der Linden, Mim van den Bos, Emir DemirovićDecision TreesGeneral Grid Search Framework

    Delft University of Technology

  21. Expanding Data-Agnostic Pivotal Instances Selection Models with Proximity Trees and Ensemble Learning

    Jul 29, 2026Alessio Cascione, Mattia Setzu, Cristiano Landi +2Decision TreesModel Selection

    Department of Computer Science, University of Pisa, Largo B. Pontecorvo, Pisa, 56127, PI, Italy. · ISTI-CNR, Via G. Moruzzi, Pisa, 56127, PI, Italy.

  22. BayesAME: Bayesian Active Model Evaluation

    Jul 29, 2026Paula Cordero Encinar, Taylan Cemgil, Arnaud Doucet +2Geometry-Aware Uncertainty CoresetsModel Selection

    Imperial College London (work conducted while at Google DeepMind) · Google DeepMind

  23. Robust Conformalized Selection with Noisy Responses

    Jul 25, 2026Chengyao Yu, Hongxin Wei, Bingyi JingFalse Discovery RateConformal Inference

    Department of Statistics and Data Science Southern University of Science and Technology Shenzhen 518055, China · School of Artificial Intelligence The Chinese University of Hong Kong, Shenzhen Shenzhen Loop Area Institute Shenzhen 518172, China

  24. Neural Feature Governance: Extending Atom Prevalence

    Jul 23, 2026Idris Karel Seunda Ekwe, Patrick Tenga Shako, Ernest Parfait FokouéBayesian Neural NetworksNeural Network

    African Institute for Mathematical Sciences (AIMS), Cameroon · Rochester Institute of Technology (RIT), US

  25. Benchmarking the Domain Gap: Model Selection Instability Under Domain Shift in Video Capsule Endoscopy

    Jul 22, 2026Dan Hanson, Debesh JhaColonoscopyModel Selection

    Department of Computer Science · Biomedical Perception & Intelligence Lab · University of South Dakota +1

  26. Multi-stage Dynamic Selection for Cross-Project Defect Prediction

    Jul 22, 2026Juscimara G. Avelino, Juscelino S. A. Junior, George D. C. Cavalcanti +1Model SelectionClassifier

    Centro de Inform´atica, Universidade Federal de Pernambuco, Recife, Brazil · ´Ecole de Technologie Sup´erieure, University of Quebec, Montreal, Canada

  27. Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation

    Jul 20, 2026Siddharth Mishra-SharmaModel SelectionSynthetic Task

    Faculty of Computing & Data Sciences Boston University · Boston University

  28. Deep Adaptive Bayesian Screening

    Jul 18, 2026Jade Lejeune Herman, Arno Strouwen, Johan A. K. Suykens +1Bayesian Experimental DesignScreening

    Mechatronics, Biostatistics and Sensors (MeBioS) · KU Leuven · Kasteelpark Arenberg 30, B-3001 Leuven (Heverlee) +3

  29. An Exact Instrument for State Usage in Selective State-Space Models, and the Input-Driven Migration It Reveals

    Jul 13, 2026Raktim BhattacharyaState Space ModelsModel Selection

    Aerospace Engineering, Texas A&M University

  30. Hierarchical Bayesian Quadrature

    Jul 12, 2026Tim Weiland, Toni Karvonen, Philipp HennigBayesian QuadratureBayesian Inference

    Tübingen AI Center, University of Tübingen, Tübingen, Germany · School of Engineering Sciences, Lappeenranta–Lahti University of Technology LUT, Lappeenranta, Finland

  31. Resample or Reroute? Recoverable Stopping Debt Without Identified Action Selection

    Jul 9, 2026Teng-Ruei ChenLarge Language Model RoutingToken Budget Allocation

    Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan · Krixvon, Taipei, Taiwan

  32. Recovering Latent Structures after Variational Bayesian Variable Selection: Fit Assessment and Factor-Number Selection in Partially Exploratory Factor Analysis

    Jul 8, 2026Jinsong Chen, Yi JinExploratory Factor AnalysisModel Selection

    Faculty of Education The University of Hong Kong · Department of Curriculum and Instruction The Education University of Hong Kong

  33. EvalLoop: A Methodology for Evaluation-Driven Iterative Improvement of Business AI Systems

    Jul 6, 2026Kenneth Benavides, Josh Fleischer, Danti ChenLoopMethodology

    Robert Half

  34. Training-Free Model Selection and Domain-Aware Score Calibration for First-Shot Anomalous Sound Detection

    Jul 5, 2026Grach MkrtchianAnomaly ScoreRoc-Auc

    independent researcher

  35. Aggregation with Exponential Weights is Optimal in Expectation

    Jul 2, 2026Mikael Møller Høgsgaard, Patrick Rebeschini, Tobias WegelModel SelectionPhase Transitions

    Department of Statistics, University of Oxford · Department of Computer Science, ETH Zurich

  36. Algebraic Model Counting for Global Analysis of Optimal Decision Trees

    Jul 2, 2026Hiroki ArimuraDecision TreesModel Selection

    Hokkaido University, N14 W9, Kita-ku, Sapporo, Hokkaido, 060-0814 Japan

  37. A Mathematical Optimization Approach for Expert-Informed Bayesian Best Subset Selection

    Jun 28, 2026Nolan Alexander, Henning MortveitModel SelectionProbability

    Systems and Information Engineering University of Virginia

  38. Benchmarking on Tasks That Matter: Dataset Selection for Preserving Model Rankings

    Jun 26, 2026Rostislav Gusev, Alexey ZaytsevModel SelectionRanking

    Applied AI Institute Moscow, Moscow region, Russian Federation

  39. Statistically Valid Post-Training Hyperparameter Selection: From Tuning to Guarantees

    Jun 24, 2026Amirmohammad Farzaneh, Osvaldo SimeoneTwo-Sample TestingModel Selection

    Institute for Intelligent Networked Systems (INSI) Northeastern University London

  40. Model selection with proper scoring rules on data sets of time series: prefer the mean scaled score

    Jun 23, 2026Giorgio Corani, Stefano Damato, Dario Azzimonti +1Model SelectionProbabilistic Forecasting

    SUPSI, Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Lugano, Switzerland

  41. Efficient Neural Network Model Selection for Few-Class Application Datasets

    Jun 18, 2026Bryan Bo Cao, Abhinav Sharma, Lawrence O'Gorman +2Model SelectionCapability-Speed Trade-Offs

    Department of Computer Science Stony Brook University Stony Brook, NY 11790, USA · Nokia Bell Labs Murray Hill, NJ 07974, USA

  42. The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance

    Jun 15, 2026Csaba Kiss, Roland Molontay, Gabriele PergolaCausal InferencesModel Selection

    Department of Stochastics, Institute of Mathematics, Budapest University of Technology and Economics, Műegyetem rkp. 3., Budapest, H-1111, Hungary · Institute of Biostatistics and Network Science, Semmelweis University, Üllői út 26., Budapest, H-1085, Hungary · Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK

  43. PLAIground: SLO-Driven Runtime Model Selection for Compound AI Systems in the Edge-Cloud-Space Continuum

    Jun 12, 2026Milos Gravara, Cynthia Marcelino, Andrija Stanisic +1Artificial Intelligence DeploymentArtificial Intelligence Systems

    Distributed Systems Group TU Wien

  44. Quantum Occam Learning: Sample-Supported Expressibility for Circuit-Based Quantum Learning

    Jun 10, 2026Jeongho Bang, Kyoungho Cho, Jeongwoo JaeQuantum LearningQuantum Machine Learning

    Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul 03722, Republic of Korea · Department of Quantum Information, Yonsei University, Incheon 21983, Republic of Korea · Department of Statistics and Data Science, Yonsei University, Seoul 03722, Republic of Korea +1

  45. AUCp: Pseudo-AUC for Inference Model Selection with Unlabeled Validation Data in Abnormality Detection

    Jun 7, 2026Md Mahfuzur Rahman Siddiquee, Fazle Rafsani, Jay Shah +4Graph Anomaly DetectionRoc-Auc

    School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281 · Mayo Clinic, Arizona

  46. TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection

    Jun 4, 2026Yikai Zhang, Gaoxiang Jia, Jie Ding +1Kernel MethodMle-Bench Lite

    Department of Statistics and Actuarial Science, University of Iowa, Iowa City, IA 52242, USA · Individual Researcher · AIScientists, Inc. (MorphMind), 245 Main Street, Cambridge, MA 02142, USA

  47. Severity-Aware Curriculum Learning with Multi-Model Response Selection for Medical Text Generation

    Jun 3, 2026Ahmed Alansary, Molham Mohamed, Ali HamdiCurriculumModel Selection

    Faculty of Computer Science MSA University Giza, Egypt

  48. A Multi-Model Metric-based Selection Framework for Abstractive Text summarization

    Jun 3, 2026Ahmed Alansary, Ali HamdiSummarizationText Analysis and Detection

    Faculty of Computer Science · MSA University · Giza, Egypt

  49. Prediction Under Imperfect Compression: A Theory of Approximate MDL

    Jun 3, 2026Qian Li, Xinyu Mao, Shang-Hua Teng +1Model SelectionPrediction Error

    Shenzhen Research Institute of Big Data · University of Southern California

  50. Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation

    Jun 3, 2026Kaichao You, Ximei Wang, Mingsheng Long +1Domain AdaptationTarget Domain

    School of Software, Tsinghua University, Beijing, China · BNRist, Research Center for Big Data, Tsinghua University, Beijing, China · University of California, Berkeley, USA

  51. Expectations vs. Realities: The Cost of MSE-Optimal Forecasting Under Conditional Uncertainty

    Jun 3, 2026Riku Green, Zahraa S. Abdallah, Telmo M Silva FilhoLong-Horizon ForecastingModel Selection

    The University of Bristol Bristol, UK

  52. When Offline Selectors Cannot Beat the Best Single Model: A Diagnostic Study on edX Dropout Prediction

    Jun 2, 2026Tyler Crosse, Alan Nadelsticher Ruvalcaba, Dustin Khang LeDuc +3Model SelectionPrediction Error

    Georgia Institute of Technology.

  53. RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning

    Jun 1, 2026Amanda S BarnardModel SelectionCross Validation

    School of Computing Australian National University Acton, ACT 2601

  54. Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics

    May 31, 2026JR Huml, Jonathan Wenger, John P. CunninghamBayesian Neural NetworksNeural Dynamics

    Department of Statistics, Columbia University; Zyphra Technologies · Department of Statistics, Columbia University; Zuckerman Institute

  55. Sample Complexity and Decision-Theoretic Guarantees for Bayesian Model Averaging over Decision Trees with Catalan-Exponential Priors

    May 31, 2026Livija Jakaite, Vitaly SchetininDecision TreesModel Selection

    School of Computing and Engineering University of Bedfordshire, Luton, UK

  56. MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition

    May 30, 2026Yifan Bao, Xinyu Xi, Xinyu Liu +8Data Science AgentsAgentic Framework

    Department of Computer Science, National University of Singapore · University College London · Alan Turing Institute +2

  57. A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models

    May 30, 2026Kara Liu, Maggie Wang, Russ B. AltmanSelection BiasModel Selection

    Stanford University · Stanford, California, USA

  58. From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets

    May 29, 2026Zakk Heile, Hayden McTavish, Varun Babbar +2Decision TreesDecisions

    Department of Computer Science, Duke University, Durham, USA · Department of Computer Science, University of British Columbia, Vancouver, Canada.

  59. Hedging on the Frontier: Learning New Tasks with Few Samples

    May 29, 2026Tobias Wegel, Federico Di Gennaro, Geelon So +1LearnabilityMonotonicity

    Department of Computer Science, ETH Zurich · Department of Computer Science and Engineering, UC San Diego

  60. Optimality of Sequential Filtering Under Independent Cost and Selectivity Models

    May 28, 2026Hrishikesh Paranjape, Abhishek Mandal, Xian SunOrder MattersOptimality

    Meta, USA