:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sabu, Anagha, S, Vidhya, Krishnan, Narayanan C
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2601.17309
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Relevance-aware Algorithmic Recourse
by: Kim, Dongwhi, et al.
Published: (2024)

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
by: Balazadeh, Vahid, et al.
Published: (2025)

SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference
by: Qi, Shi-ang, et al.
Published: (2026)

Learning Regularizers: Learning Optimizers that can Regularize
by: Sahoo, Suraj Kumar, et al.
Published: (2025)

Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification
by: Zhang, Xu, et al.
Published: (2026)

Algorithmic Recourse with Missing Values
by: Kanamori, Kentaro, et al.
Published: (2023)

From Search To Sampling: Generative Models For Robust Algorithmic Recourse
by: Garg, Prateek, et al.
Published: (2025)

Mitigating Task-Order Sensitivity and Forgetting via Hierarchical Second-Order Consolidation
by: Nag, Protik, et al.
Published: (2026)

Amortized Active Generation of Pareto Sets
by: Steinberg, Daniel M., et al.
Published: (2025)

Towards Non-Adversarial Algorithmic Recourse
by: Leemann, Tobias, et al.
Published: (2024)

Online Algorithmic Recourse by Collective Action
by: Creager, Elliot, et al.
Published: (2023)

Learning-Augmented Robust Algorithmic Recourse
by: Kayastha, Kshitij, et al.
Published: (2024)

Improvement-Focused Causal Recourse (ICR)
by: König, Gunnar, et al.
Published: (2022)

Performative Validity of Recourse Explanations
by: König, Gunnar, et al.
Published: (2025)

The Risks of Recourse in Binary Classification
by: Fokkema, Hidde, et al.
Published: (2023)

Amortized Variational Inference: When and Why?
by: Margossian, Charles C., et al.
Published: (2023)

Algorithmic Recourse of In-Context Learning for Tabular Data
by: Dong, Wenshuo, et al.
Published: (2026)

Algorithmic Recourse in Abnormal Multivariate Time Series
by: Han, Xiao, et al.
Published: (2023)

Learning Decision Trees and Forests with Algorithmic Recourse
by: Kanamori, Kentaro, et al.
Published: (2024)

Causal Algorithmic Recourse: Foundations and Methods
by: Plecko, Drago, et al.
Published: (2026)

Reinforcement Learning for Durable Algorithmic Recourse
by: Ceccon, Marina, et al.
Published: (2025)

Personalized Algorithmic Recourse with Preference Elicitation
by: De Toni, Giovanni, et al.
Published: (2022)

Time Can Invalidate Algorithmic Recourse
by: De Toni, Giovanni, et al.
Published: (2024)

Coverage-Validity-Aware Algorithmic Recourse
by: Bui, Ngoc, et al.
Published: (2023)

The Importance of Time in Causal Algorithmic Recourse
by: Beretta, Isacco, et al.
Published: (2023)

Amortized Bayesian Workflow
by: Li, Chengkun, et al.
Published: (2024)

Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
by: Cheon, Harry, et al.
Published: (2024)

Local and Regional Counterfactual Rules: Summarized and Robust Recourses
by: Amoukou, Salim I., et al.
Published: (2022)

Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation
by: Nguyen, Duy, et al.
Published: (2024)

Personalized Path Recourse for Reinforcement Learning Agents
by: Hong, Dat, et al.
Published: (2023)

Amortized Conditional Independence Testing
by: Duong, Bao, et al.
Published: (2025)

Optimal Robust Recourse with $L^p$-Bounded Model Change
by: Kyaw, Phone, et al.
Published: (2025)

HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
by: Cao, Junyu, et al.
Published: (2024)

COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
by: Fournier, Gregoire, et al.
Published: (2025)

The Cost of Consistency: Submodular Maximization with Constant Recourse
by: Dütting, Paul, et al.
Published: (2024)

Amortized Bayesian Mixture Models
by: Kucharský, Šimon, et al.
Published: (2025)

Amortized Bayesian Multilevel Models
by: Habermann, Daniel, et al.
Published: (2024)

Neural Methods for Amortized Inference
by: Zammit-Mangion, Andrew, et al.
Published: (2024)

Amortized Multi-Objective Optimization Across Tasks with Generative Solution Modeling
by: Wei, Tingyang, et al.
Published: (2025)

Prediction without Preclusion: Recourse Verification with Reachable Sets
by: Kothari, Avni, et al.
Published: (2023)