Cover Image

Addressing the Cold-Start Problem for Personalized Combination Drug Screening

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	de Mathelin, Antoine, Tosh, Christopher, Tansey, Wesley
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Empirically Calibrated Conditional Independence Tests
by: Pan, Milleno, et al.
Published: (2026)

Treatment response as a latent variable
by: Tosh, Christopher, et al.
Published: (2025)

Addressing Cold Start For next-article Recommendation
by: Elgohary, Omar, et al.
Published: (2025)

Controllable diffusion-based generation for multi-channel biological data
by: Zhang, Haoran, et al.
Published: (2025)

Short-Form Video Recommendations with Multimodal Embeddings: Addressing Cold-Start and Bias Challenges
by: Dzhoha, Andrii, et al.
Published: (2025)

Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization
by: de Mathelin, Antoine, et al.
Published: (2023)

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

SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
by: Jacobs, Yahel, et al.
Published: (2024)

A Hierarchical Variational Graph Fused Lasso for Recovering Relative Rates in Spatial Compositional Data
by: Teixeira, Joaquim Valerio, et al.
Published: (2025)

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)

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

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

OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
by: de Mathelin, Antoine, et al.
Published: (2025)

Distilled Protein Backbone Generation
by: Xie, Liyang, et al.
Published: (2025)

BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale
by: Ardywibowo, Randy, et al.
Published: (2024)

Optimizing Online Advertising with Multi-Armed Bandits: Mitigating the Cold Start Problem under Auction Dynamics
by: Soboleva, Anastasiia, et al.
Published: (2025)

LLMs for Cold-Start Cutting Plane Separator Configuration
by: Lawless, Connor, et al.
Published: (2024)

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

Cold-Start Active Preference Learning in Socio-Economic Domains
by: Fayaz-Bakhsh, Mojtaba, et al.
Published: (2025)

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

Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
by: Hosseinkhan-Boucher, Rémy, et al.
Published: (2025)

Increasing Information for Model Predictive Control with Semi-Markov Decision Processes
by: Hosseinkhan-Boucher, Rémy, et al.
Published: (2025)

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

From Zero to Hero: Cold-Start Anomaly Detection
by: Reiss, Tal, et al.
Published: (2024)

Dynamic Prior Thompson Sampling for Cold-Start Exploration in Recommender Systems
by: Zhao, Zhenyu, et al.
Published: (2026)

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion
by: Hu, Jiacheng, et al.
Published: (2025)

Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms
by: Bayati, Mohsen, et al.
Published: (2022)

RAGSys: Item-Cold-Start Recommender as RAG System
by: Contal, Emile, et al.
Published: (2024)

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

Guess-and-Learn (G&L): Measuring the Cumulative Error Cost of Cold-Start Adaptation
by: Arnold, Roland
Published: (2025)

Cold-Start Forecasting of New Product Life-Cycles via Conditional Diffusion Models
by: Zhou, Ruihan, et al.
Published: (2026)

Trinity: A Scenario-Aware Recommendation Framework for Large-Scale Cold-Start Users
by: Zheng, Wenhao, et al.
Published: (2026)

MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation
by: Liu, Jialin, et al.
Published: (2026)

Warm Starts, Cold States: Exploiting Adiabaticity for Variational Ground-States
by: Puig, Ricard, et al.
Published: (2026)

Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
by: Magistri, Simone, et al.
Published: (2024)

Simple and near-optimal algorithms for hidden stratification and multi-group learning
by: Tosh, Christopher, et al.
Published: (2021)

NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification
by: Hu, Jun, et al.
Published: (2025)

Shallow AutoEncoding Recommender with Cold Start Handling via Side Features
by: Cui, Edward DongBo, et al.
Published: (2025)

Warmer for Less: A Cost-Efficient Strategy for Cold-Start Recommendations at Pinterest
by: Ebrahimi, Saeed, et al.
Published: (2025)

Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting
by: Andre, Alexandre, et al.
Published: (2025)