Cold-Start

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Period ending 2026-09-21

1 new paper

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Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Cold-Start.

Period ending 2026-09-07

4 new papers

A weekly snapshot of new work published in Cold-Start.

71 papers

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  1. Thin-shell stability of Gaussian cooling: logconcave sampling with sesteric complexity from a cold start

    Sep 14, 2026Yunbum Kook, Santosh S. VempalaNon-Log-ConcaveOptimal Sample Complexity

  2. ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selection in RLVR

    Sep 8, 2026Tommy Sha, Skylar Zhai, Siqi ZhaoReinforcement Learning With Verifiable RewardGroup Relative Policy Optimization

  3. AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing

    Sep 8, 2026Ziyang Ma, Zhikang Niu, Wenming Tu +30Music EditingWireless Foundation Models

  4. When Does Online Adaptation Pay on the Edge? A Leakage-Free Evaluation of Warmup, Learning-Rate Selection, and Resource Trade-offs for Time-Series Forecasting

    Sep 1, 2026Takumi Fujimoto, Hiroaki NishiNon-StationarityCold-Start

  5. ProxPI: Proximal Prior Injection for Sampling-Based MPC under Learned-Prior Mismatch

    Sep 1, 2026Euncheol Im, Myotaeg Lim, Yisoo LeeModel Predictive Path IntegralProximal Policy Optimization

  6. CRAFT: Fine-Tuning Pre-hoc Explainability in AI-native 6G RAN

    Sep 1, 2026Pranshav Gajjar, Vijay K ShahOpen Radio Access NetworksMobile Networks

  7. Simple-OPD: Demystifying Warm-up for On-policy Distillation

    Aug 7, 2026Tao Liu, Taiqiang Wu, Mao Zheng +5On-Policy DistillationRp-Opsd

  8. One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning

    Aug 4, 2026Ning Zhu, Xiaochuan Ma, Juntao Xu +4Active LearningCold-Start

  9. Windowed thinning and query complexity for the bouncy particle and Zigzag samplers

    Jul 30, 2026Jianfeng Lu, Yinchen LuoMarkovian SamplingSample Complexity

  10. Kairos: Numerically Robust News Recommendation under Item Cold-Start via Cholesky-based LinUCB

    Jul 29, 2026Finn HertschLarge-Scale Recommendation SystemsCold-Start

  11. Physics-Informed Neural Operator for Warm-Starting Background-Decomposed and Preconditioned PSFD: Enabling Scalable 3-D EUV Mask Simulation

    Jul 28, 2026Doyun Kim, Werner GillijnsLithographyCold-Start

  12. Guiding Posterior Exploration with Optimizer-Derived Geometry

    Jul 28, 2026Moritz Schlager, Emanuel Sommer, Thomas Möllenhoff +1Bayesian Neural NetworksBayesian Optimization

  13. Bridging the Information Gap: Semantic Densification and Hindsight Distillation for Cold-Start Prediction

    Jul 19, 2026Hao Duong Le, Yifei Gao, Huan Li +4Cold-StartSemantic Gap

  14. Foundation-Assisted Active Learning for Object Detection Annotation

    Jul 18, 2026Jinchang Zhang, Arnold Zumbrun, Jing Lin +1Object DetectionActive Learning

  15. The Equilibrium Is the Initialization: Lazy Identity Collapse in Physics-Structured Deep Equilibrium Reasoning

    Jul 13, 2026Joyjeet SinghEquilibriumEquivalence

  16. WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training

    Jul 12, 2026Jianhao Ma, Yuxin ChenLearning RatesCosine Annealing

  17. ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection

    Jul 2, 2026Ningning Han, Lei Fan, Jia Guo +5Zero-Shot Anomaly DetectionDetection Framework

  18. MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction

    Jul 2, 2026Wenbo ZhangProteinBiomedical Knowledge Graph

  19. The Rollout Infrastructure Tax in Coding-Agent Reinforcement Learning

    Jul 1, 2026Daniel Thi Graviet, Lovre Pesut, Ivan Dagelic +2Coding AgentsExecution Efficiency

  20. Why Solve It Twice? Hierarchical Accumulation of Skills for Transfer-Efficient ML Engineering

    Jun 29, 2026Yongbin Kim, Yashar Talebirad, Osmar R. ZaianeMle-Bench LiteCross-Task Knowledge Transfer

  21. Diagnosing and Mitigating Retrieval Bottlenecks in LLM-Based Cold-Start Recommendation

    Jun 29, 2026Zhe Dong, Fang Qin, Manish Shah +1RerankingCold-Start

  22. Data-Free Reservoir Features for Efficient Long-Horizon Cold-Start Continual Learning

    Jun 25, 2026Augustinas Jučas, Yangchen PanDomain Incremental LearningEfficient Continual Learning

  23. FORCE: Efficient VLA Reinforcement Fine-Tuning via Value-Calibrated Warm-up and Self-Distillation

    Jun 24, 2026Shuyi Zhang, Yunfan Lou, Hongyang Cheng +8Vision-Language-Action ModelsReinforcement Fine-Tuning

  24. Spectrally Safe Neural Operator Warm-Starts for Large-Scale Newton Solvers

    Jun 20, 2026Jaemin Oh, Youngkyu Lee, Jerome Darbon +1Neural OperatorsNewton

  25. When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model

    Jun 19, 2026Carson Rodrigues, Oysturn Vas, Isaiah Abner DCosta +1Hyperparameter OptimizationCold-Start

  26. Gradient-Free Warm-Start Library Recovery: an Amortized-Regret Separation

    Jun 19, 2026Jianwei LouLearning-Augmented AlgorithmsCold-Start

  27. Dataset-Aware Cold-Start Active Learning for Annotation-Efficient 3D Medical Image Segmentation

    Jun 18, 2026Rémi Hattat, Marine Beaumont, Charline Bertholdt +3Medical Image Segmentation3D Semantic Segmentation

  28. Denoising Implicit Feedback for Cold-start Recommendation

    Jun 17, 2026Gaode Chen, Shicheng Wang, Shikun Li +8Recommender SystemsCold-Start

  29. VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions

    Jun 17, 2026Katya Mirylenka, Egor Malykh, Mahdyar Ravanbakhsh +10Multimodal RetrievalVisual Embeddings

  30. Transformer-Based Warm-Starting for Feasible and Optimal Terminal Approach to Tumbling Objects with Space Manipulators

    Jun 15, 2026Yuji Takubo, Maximilian Adang, Mac Schwager +1Trajectory OptimizationCold-Start

  31. From Compression to Deployment: Real-Time and Energy-Efficient FastGRNN on Ultra-Constrained Microcontrollers

    Jun 15, 2026Emre Can KizilatesCortexEnergy-Efficient

  32. RAID: Semantic Graph Diffusion for True Cold-Start and Cross-Lingual Forecasting

    Jun 15, 2026Arunkumar V, Manoranjan Gandhudi, Gangadharan G. R. +2Load ForecastingLatent Bridge Matching

  33. Taming Curvature: Architecture Warm-Up for Stable Transformer Training

    Jun 15, 2026Sameera Ramasinghe, Ajanthan Thalaiyasingam, Hadi Mohaghegh Dolatabadi +6Curvature-Aware Quadratic BanksTransformer Architectures

  34. Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained Inverse Problems

    Jun 10, 2026Zhen Zhang, Alessandro Alla, George Em KarniadakisConventional Physics-Informed Neural NetworksIll-Posed Inverse Problem

  35. The Long Tail, Not the Front Page: Cold-Start Prediction of Crowd Highlight Salience

    Jun 10, 2026Kazuki Nakayashiki, Keisuke WatanabePopularityRelevance

  36. Stage-1 Controls the Entropy Regime, Not the Outcome

    Jun 8, 2026Jianxiong ShenVision-LanguageCold-Start

  37. Declarative Outcome-Conformant Synthesis: Exact, Closed-Form Specification Satisfaction and a Conformance Benchmark

    Jun 7, 2026Muhammed RasinSynthetic Tabular DataAutomated Synthesis Techniques

  38. Time series Foundation Models based on Physics-Informed Synthetic Histories for Cold-Start Photovoltaic Forecasting

    Jun 5, 2026Lorenzo Longarini, Alessandro Rongoni, Simone Silenzi +2Energy ForecastingTime Series Foundation Models

  39. Breaking the Ice: Analyzing Cold Start Latency in vLLM

    Jun 5, 2026Huzaifa Shaaban Kabakibo, Animesh Trivedi, Lin WangCold-StartLow-Latency Systems

  40. Architecture Shapes Transfer Specificity in Implicit Neural Representations

    Jun 5, 2026D Yang EngImplicit Neural RepresentationsNeural Architectures

  41. Bridging the Semantic-Collaborative Gap: An Asymmetric Graph Architecture for Cold-Start Item Recommendation

    Jun 4, 2026Anh Truong, John Trenkle, Yuanbo Chen +4Multimodal RecommendationKnowledge Graph Completion

  42. Representation Curriculum: Stagewise Training for Robust Ranking and Allocation

    Jun 3, 2026Ehsan Ebrahimzadeh, Sina Baharlouei, Abraham BagherjeiranLate-Stage RankerRanking

  43. Finite-Iteration Local Dynamics and Warm Starts for Alternating Power Iteration in Spiked Tensor PCA

    Jun 2, 2026Yanjin Xiang, Zhihua ZhangAlternating Direction Method Of MultiplierCold-Start

  44. Physics-Informed Modeling and Control of Emergent Behaviors in Robot Swarms

    Jun 1, 2026Zixuan Jin, Wenzhuo Zhang, Shuxian Quan +4SwarmsEmergence

  45. UME: A Unified Meta-Generalization Framework for Cross-Domain ETA

    May 31, 2026Duo Wang, Qiong Wu, Jianguo Wu +9Last MileMeta-Learning

  46. AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification

    May 29, 2026Xixun Lin, Zhiheng Zhou, Zhengyin Zhang +9Graph Neural NetworksAbstention

  47. Information-Directed Offline-to-Online Reinforcement Learning

    May 28, 2026Keru ChenOffline Reinforcement LearningImportance Sampling

  48. How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws

    May 25, 2026Zhitao Zhu, Xili Wang, Shizhe Wu +2Large ModelsLarge Language

  49. Human-in-the-Loop Contextual Bandits for Short-Term Rental Dynamic Pricing: Structural Equivalence of Historical Warm-Up and Approval-Gated Live Learning

    May 22, 2026Oleg MiroshnichenkoLinear Contextual BanditsPrices

  50. FlyRoute: Self-Evolving Agent Profiling via Data Flywheel for Adaptive Task Routing

    May 21, 2026Rongjun Li, Ziyu Zhou, Yihang WuSelf-Evolving AgentsProfiling

  51. FedCoE: Bridging Generalization and Personalization via Federated Coordinated Dual-level MoEs

    May 20, 2026Penglin Dai, Fulian Li, Xincao Xu +3Federated LearningFedavg

  52. ADAPT: A Self-Calibrating Proactive Autoscaler for Container Orchestration

    May 15, 2026Himanshu Singh BaghelRate ScalingExponential Moving Average

  53. Language-Induced Priors for Domain Adaptation

    May 14, 2026Qiyuan Chen, Jiayu Zhou, Raed Al KontarDomain AdaptationPrior Knowledge

  54. When is Warmstarting Effective for Scaling Language Models?

    May 13, 2026Neeratyoy Mallik, Maciej Janowski, Johannes Hog +4Large ModelsCold-Start

  55. Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning

    May 12, 2026Zhaomeng Zhou, Lan Zhang, Junyang Wang +2ThinkingHard

  56. Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models

    May 11, 2026Shourya Bose, Helgi Hilmarsson, Dhruv SuriAc Optimal Power FlowNewton

  57. FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis

    May 10, 2026Zahra Asadi, Haeseung Jeon, Sohyun Han +3Malware DetectionEfficient Continual Learning

  58. Learning-Augmented Scalable Linear Assignment Problem Optimization via Neural Dual Warm-Starts

    May 10, 2026Ilay Yavlovich, Jad Agbaria, Muhamed Mhamed +2Patient-To-Room Assignment ProblemCombinatorial Optimization

  59. Optimal FALQON for Quantum Approximate Optimization via Layer-wise Parameter Tuning

    May 8, 2026Michael Mancini, Shabnam SodagariQuantum Approximate Optimization AlgorithmHyperparameter Optimization

  60. Continuous First, Discrete Later: VQ-VAEs Without Dimensional Collapse

    May 7, 2026Xinyu Zhao, Nikita Karagodin, Hamed Hassani +3Variational AutoencoderCodebooks