Strategic Classification with Non-Linear Classifiers
Fuente:
arXiv
Saved in:
| Main Authors: | Trachtenberg, Benyamin, Rosenfeld, Nir |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
One-Shot Strategic Classification Under Unknown Costs
by: Rosenfeld, Elan, et al.
Published: (2023)
by: Rosenfeld, Elan, et al.
Published: (2023)
Classification Under Strategic Self-Selection
by: Horowitz, Guy, et al.
Published: (2024)
by: Horowitz, Guy, et al.
Published: (2024)
Learning Classifiers That Induce Markets
by: Sommer, Yonatan, et al.
Published: (2025)
by: Sommer, Yonatan, et al.
Published: (2025)
Computing Strategic Responses to Non-Linear Classifiers
by: Geary, Jack, et al.
Published: (2025)
by: Geary, Jack, et al.
Published: (2025)
A Market for Accuracy: Classification under Competition
by: Einav, Ohad, et al.
Published: (2025)
by: Einav, Ohad, et al.
Published: (2025)
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
by: Ehrenberg, Maayan, et al.
Published: (2024)
by: Ehrenberg, Maayan, et al.
Published: (2024)
The Role of Causal Features in Strategic Classification for Robustness and Alignment
by: Gois, Antonio, et al.
Published: (2026)
by: Gois, Antonio, et al.
Published: (2026)
Strategic Classification with Randomised Classifiers
by: Geary, Jack, et al.
Published: (2025)
by: Geary, Jack, et al.
Published: (2025)
Strategic PAC Learnability via Geometric Definability
by: Filmus, Yuval, et al.
Published: (2026)
by: Filmus, Yuval, et al.
Published: (2026)
Welfare as a Guiding Principle for Machine Learning -- From Compass, to Lens, to Roadmap
by: Rosenfeld, Nir, et al.
Published: (2025)
by: Rosenfeld, Nir, et al.
Published: (2025)
Sequential Strategic Classification with Multi-Stage Selective Classifiers
by: Huang, Ziyuan, et al.
Published: (2026)
by: Huang, Ziyuan, et al.
Published: (2026)
Evolutionary Prediction Games
by: Saig, Eden, et al.
Published: (2025)
by: Saig, Eden, et al.
Published: (2025)
Linear Strategic Classification with Endogenous Improvements
by: Shrivastava, Siddharth, et al.
Published: (2026)
by: Shrivastava, Siddharth, et al.
Published: (2026)
Prior Aware Memorization: An Efficient Metric for Distinguishing Memorization from Generalization in Large Language Models
by: Tiwari, Trishita, et al.
Published: (2026)
by: Tiwari, Trishita, et al.
Published: (2026)
Multi-Feature Fusion and Compressed Bi-LSTM for Memory-Efficient Heartbeat Classification on Wearable Devices
by: Nikandish, Reza, et al.
Published: (2024)
by: Nikandish, Reza, et al.
Published: (2024)
Should Decision-Makers Reveal Classifiers in Online Strategic Classification?
by: Shao, Han, et al.
Published: (2025)
by: Shao, Han, et al.
Published: (2025)
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias
by: Itzhak, Itay, et al.
Published: (2023)
by: Itzhak, Itay, et al.
Published: (2023)
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
by: Nahum, Omer, et al.
Published: (2023)
by: Nahum, Omer, et al.
Published: (2023)
On Robustness of Linear Classifiers to Targeted Data Poisoning
by: Gupta, Nakshatra, et al.
Published: (2025)
by: Gupta, Nakshatra, et al.
Published: (2025)
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems
by: Tafreshian, Benyamin, et al.
Published: (2025)
by: Tafreshian, Benyamin, et al.
Published: (2025)
Wittgenstein's Family Resemblance Clustering Algorithm
by: Amanpour, Golbahar, et al.
Published: (2026)
by: Amanpour, Golbahar, et al.
Published: (2026)
Minimax Group Fairness in Strategic Classification
by: Diana, Emily, et al.
Published: (2024)
by: Diana, Emily, et al.
Published: (2024)
Classifier Chain Networks for Multi-Label Classification
by: Touw, Daniel J. W., et al.
Published: (2024)
by: Touw, Daniel J. W., et al.
Published: (2024)
Classifier Pooling for Modern Ordinal Classification
by: Rotenberg, Noam H., et al.
Published: (2026)
by: Rotenberg, Noam H., et al.
Published: (2026)
Detecting Strategic Deception Using Linear Probes
by: Goldowsky-Dill, Nicholas, et al.
Published: (2025)
by: Goldowsky-Dill, Nicholas, et al.
Published: (2025)
Benign Overfitting in Linear Classifiers with a Bias Term
by: Kondo, Yuta
Published: (2025)
by: Kondo, Yuta
Published: (2025)
Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers
by: Saha, Dheeman, et al.
Published: (2024)
by: Saha, Dheeman, et al.
Published: (2024)
Individual Fairness In Strategic Classification
by: Zuo, Zhiqun, et al.
Published: (2026)
by: Zuo, Zhiqun, et al.
Published: (2026)
Efficient and Noise-Tolerant PAC Learning of Multiclass Linear Classifiers
by: Adhikari, Rita, et al.
Published: (2026)
by: Adhikari, Rita, et al.
Published: (2026)
Bayesian Strategic Classification
by: Cohen, Lee, et al.
Published: (2024)
by: Cohen, Lee, et al.
Published: (2024)
TaCo: Targeted Concept Erasure Prevents Non-Linear Classifiers From Detecting Protected Attributes
by: Jourdan, Fanny, et al.
Published: (2023)
by: Jourdan, Fanny, et al.
Published: (2023)
Diffusion Classifier Guidance for Non-robust Classifiers
by: Vaeth, Philipp, et al.
Published: (2025)
by: Vaeth, Philipp, et al.
Published: (2025)
Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear Classifiers
by: Liu, Jinlin, et al.
Published: (2026)
by: Liu, Jinlin, et al.
Published: (2026)
When In Doubt, Abstain: The Impact of Abstention on Strategic Classification
by: Alkarmi, Lina, et al.
Published: (2025)
by: Alkarmi, Lina, et al.
Published: (2025)
Strategic Linear Contextual Bandits
by: Buening, Thomas Kleine, et al.
Published: (2024)
by: Buening, Thomas Kleine, et al.
Published: (2024)
Learnability Gaps of Strategic Classification
by: Cohen, Lee, et al.
Published: (2024)
by: Cohen, Lee, et al.
Published: (2024)
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
by: Ahmadi, Saba, et al.
Published: (2024)
by: Ahmadi, Saba, et al.
Published: (2024)
Ensemble Performance Through the Lens of Linear Independence of Classifier Votes in Data Streams
by: Bektas, Enes, et al.
Published: (2025)
by: Bektas, Enes, et al.
Published: (2025)
Linear Mode Connectivity under Data Shifts for Deep Ensembles of Image Classifiers
by: Hepburn, C., et al.
Published: (2025)
by: Hepburn, C., et al.
Published: (2025)
Efficient Parameter Estimation for Bayesian Network Classifiers using Hierarchical Linear Smoothing
by: Cooper, Connor, et al.
Published: (2025)
by: Cooper, Connor, et al.
Published: (2025)
Similar Items
-
One-Shot Strategic Classification Under Unknown Costs
by: Rosenfeld, Elan, et al.
Published: (2023) -
Classification Under Strategic Self-Selection
by: Horowitz, Guy, et al.
Published: (2024) -
Learning Classifiers That Induce Markets
by: Sommer, Yonatan, et al.
Published: (2025) -
Computing Strategic Responses to Non-Linear Classifiers
by: Geary, Jack, et al.
Published: (2025) -
A Market for Accuracy: Classification under Competition
by: Einav, Ohad, et al.
Published: (2025)