:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bayley, Adam, Zhu, Xiaodan, Aoki, Raquel, Cao, Yanshuai, Wilson, Kevin H.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2604.02527
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Jump Starting Bandits with LLM-Generated Prior Knowledge
by: Alamdari, Parand A., et al.
Published: (2024)

Jump-Start Reinforcement Learning with Vision-Language-Action Regularization
by: Moroncelli, Angelo, et al.
Published: (2026)

Ensemble Distillation for Unsupervised Constituency Parsing
by: Shayegh, Behzad, et al.
Published: (2023)

Aligned at the Start: Conceptual Groupings in LLM Embeddings
by: Khatir, Mehrdad, et al.
Published: (2024)

Flora: Low-Rank Adapters Are Secretly Gradient Compressors
by: Hao, Yongchang, et al.
Published: (2024)

NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
by: Hao, Yongchang, et al.
Published: (2024)

CSGO: Generalized Optimization for Cold Start in Wireless Collaborative Edge LLM Systems
by: Liu, Xuran, et al.
Published: (2025)

Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks
by: Hao, Yongchang, et al.
Published: (2024)

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs
by: Zhao, Yushang, et al.
Published: (2025)

Cold-Start Active Correlation Clustering
by: Aronsson, Linus, et al.
Published: (2025)

Language-Model Prior Overcomes Cold-Start Items
by: Wang, Shiyu, et al.
Published: (2024)

User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2026)

Deep Learning Warm Starts for Trajectory Optimization on the International Space Station
by: Banerjee, Somrita, et al.
Published: (2025)

Accelerated Online Reinforcement Learning using Auxiliary Start State Distributions
by: Mehra, Aman, et al.
Published: (2025)

DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
by: Shin, Baekrok, et al.
Published: (2024)

Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing
by: Ma, Haiping, et al.
Published: (2024)

Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models
by: Mahdavi, Sadegh, et al.
Published: (2024)

Attending on Multilevel Structure of Proteins enables Accurate Prediction of Cold-Start Drug-Target Interactions
by: Zhang, Ziying, et al.
Published: (2025)

Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion
by: Chen, Kaiqi, et al.
Published: (2024)

Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
by: Wang, Haoming, et al.
Published: (2025)

Operational Robustness of LLMs on Code Generation
by: Paul, Debalina Ghosh, et al.
Published: (2026)

Cold-Start Personalization via Training-Free Priors from Structured World Models
by: Bose, Avinandan, et al.
Published: (2026)

Solving the Cold Start Problem on One's Own as an End User via Preference Transfer
by: Sato, Ryoma
Published: (2025)

Sinusoidal Initialization, Time for a New Start
by: Fernández-Hernández, Alberto, et al.
Published: (2025)

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs
by: Li, Mengran, et al.
Published: (2025)

Tokenized Bandit for LLM Decoding and Alignment
by: Shin, Suho, et al.
Published: (2025)

Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization
by: Pembek, Anton, et al.
Published: (2025)

SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration
by: Shen, Yuanhao, et al.
Published: (2024)

A Hybrid Tsallis-Polarization Impurity Measure for Decision Trees: Theoretical Foundations and Empirical Evaluation
by: Lansiaux, Edouard, et al.
Published: (2026)

WARP: A Benchmark for Primal-Dual Warm-Starting of Interior-Point Solvers
by: Suri, Dhruv, et al.
Published: (2026)

Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions
by: Parmar, Mihir, et al.
Published: (2022)

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start
by: Wei, Lai, et al.
Published: (2025)

Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models
by: Bose, Shourya, et al.
Published: (2026)

MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model-Agnostic Meta Learning
by: Bhattacharjee, Indronil, et al.
Published: (2026)

Leveraging Offline Data in Linear Latent Contextual Bandits
by: Kausik, Chinmaya, et al.
Published: (2024)

A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios
by: Ganhör, Christian, et al.
Published: (2024)

Causal EpiNets: Precision-corrected Bounds on Individual Treatment Effects using Epistemic Neural Networks
by: Patil, Gandharv, et al.
Published: (2026)

Theoretical and Empirical Advances in Forest Pruning
by: Dorador, Albert
Published: (2024)

Calibration-Gated LLM Pseudo-Observations for Online Contextual Bandits
by: Pershin, Maksim, et al.
Published: (2026)

Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis
by: Zheng, Yujie, et al.
Published: (2026)