Copertina

Active Query Synthesis for Preference Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Nadagouda, Namrata, Ahad, Nauman, Tucker, Maegan, Davenport, Mark A.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Automata Learning from Preference and Equivalence Queries
di: Hsiung, Eric, et al.
Pubblicazione: (2023)

Active Learning of General Halfspaces: Label Queries vs Membership Queries
di: Diakonikolas, Ilias, et al.
Pubblicazione: (2024)

Query-Policy Misalignment in Preference-Based Reinforcement Learning
di: Hu, Xiao, et al.
Pubblicazione: (2023)

Active Learning for Direct Preference Optimization
di: Kveton, Branislav, et al.
Pubblicazione: (2025)

SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures
di: Guan, Peimeng, et al.
Pubblicazione: (2024)

CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries
di: Mu, Ni, et al.
Pubblicazione: (2025)

Active Query Selection for Crowd-Based Reinforcement Learning
di: Erskine, Jonathan, et al.
Pubblicazione: (2025)

Preferential Multi-Objective Bayesian Optimization
di: Astudillo, Raul, et al.
Pubblicazione: (2024)

Reward-Conditioned Reinforcement Learning
di: Nauman, Michal, et al.
Pubblicazione: (2026)

Offline Clustering of Preference Learning with Active-data Augmentation
di: Liu, Jingyuan, et al.
Pubblicazione: (2025)

Active Preference Learning for Ordering Items In- and Out-of-sample
di: Bergström, Herman, et al.
Pubblicazione: (2024)

Cumulative Meta-Learning from Active Learning Queries for Robustness to Spurious Correlations
di: Chew, Kin Whye, et al.
Pubblicazione: (2026)

Conformal confidence sets for biomedical image segmentation
di: Davenport, Samuel
Pubblicazione: (2024)

AutoAL: Automated Active Learning with Differentiable Query Strategy Search
di: Wang, Yifeng, et al.
Pubblicazione: (2024)

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

Comparison-based Active Preference Learning for Multi-dimensional Personalization
di: Oh, Minhyeon, et al.
Pubblicazione: (2024)

Learning Formal Specifications from Membership and Preference Queries
di: Shah, Ameesh, et al.
Pubblicazione: (2023)

On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics
di: Nauman, Michal, et al.
Pubblicazione: (2023)

Low-rank matrix completion and denoising under Poisson noise
di: McRae, Andrew D., et al.
Pubblicazione: (2019)

Active Value Querying to Minimize Additive Error in Subadditive Set Function Learning
di: Černý, Martin, et al.
Pubblicazione: (2026)

Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
di: Lin, Jiabin, et al.
Pubblicazione: (2024)

Nearly Optimal Active Preference Learning and Its Application to LLM Alignment
di: Zhao, Yao, et al.
Pubblicazione: (2026)

Querying Easily Flip-flopped Samples for Deep Active Learning
di: Cho, Seong Jin, et al.
Pubblicazione: (2024)

What Does Flow Matching Bring To TD Learning?
di: Agrawalla, Bhavya, et al.
Pubblicazione: (2026)

AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization
di: Vaswani, Namrata
Pubblicazione: (2025)

Active Preference Learning for Large Language Models
di: Muldrew, William, et al.
Pubblicazione: (2024)

Inference-Time Personalized Alignment with a Few User Preference Queries
di: Pădurean, Victor-Alexandru, et al.
Pubblicazione: (2025)

Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF
di: Belakaria, Syrine, et al.
Pubblicazione: (2025)

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need
di: Sharifi, Mohammadreza, et al.
Pubblicazione: (2025)

ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning
di: Melikidze, Davit, et al.
Pubblicazione: (2026)

Optimizing Algorithms for Mobile Health Interventions with Active Querying Optimization
di: Rawashdeh, Aseel
Pubblicazione: (2025)

LORE: Jointly Learning the Intrinsic Dimensionality and Relative Similarity Structure From Ordinal Data
di: Anand, Vivek, et al.
Pubblicazione: (2026)

Enhancing Cost Efficiency in Active Learning with Candidate Set Query
di: Gwon, Yeho, et al.
Pubblicazione: (2025)

Deep Bayesian Active Learning for Preference Modeling in Large Language Models
di: Melo, Luckeciano C., et al.
Pubblicazione: (2024)

Batch Active Learning of Reward Functions from Human Preferences
di: Bıyık, Erdem, et al.
Pubblicazione: (2024)

Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures
di: Guan, Peimeng, et al.
Pubblicazione: (2024)

A Deep Positive-Negative Prototype Approach to Integrated Prototypical Discriminative Learning
di: Zarei-Sabzevar, Ramin, et al.
Pubblicazione: (2025)

DynaSTy: A Framework for SpatioTemporal Node Attribute Prediction in Dynamic Graphs
di: Banerji, Namrata, et al.
Pubblicazione: (2026)

A Case for Validation Buffer in Pessimistic Actor-Critic
di: Nauman, Michal, et al.
Pubblicazione: (2024)

Reinforcement Learning from Human Feedback with Active Queries
di: Ji, Kaixuan, et al.
Pubblicazione: (2024)