:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sommer, Yonatan, Hikri, Ivri, Amit, Lotan, Rosenfeld, Nir
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.20012
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Classification Under Strategic Self-Selection
by: Horowitz, Guy, et al.
Published: (2024)

Strategic Classification with Non-Linear Classifiers
by: Trachtenberg, Benyamin, et al.
Published: (2025)

A Market for Accuracy: Classification under Competition
by: Einav, Ohad, et al.
Published: (2025)

Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias
by: Itzhak, Itay, et al.
Published: (2023)

One-Shot Strategic Classification Under Unknown Costs
by: Rosenfeld, Elan, et al.
Published: (2023)

Welfare as a Guiding Principle for Machine Learning -- From Compass, to Lens, to Roadmap
by: Rosenfeld, Nir, et al.
Published: (2025)

Evolutionary Prediction Games
by: Saig, Eden, et al.
Published: (2025)

Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
by: Nahum, Omer, et al.
Published: (2023)

Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
by: Ehrenberg, Maayan, et al.
Published: (2024)

Strategic PAC Learnability via Geometric Definability
by: Filmus, Yuval, et al.
Published: (2026)

Shortcut Learning Susceptibility in Vision Classifiers
by: Suhail, Pirzada, et al.
Published: (2025)

Learning Model Successors
by: Chang, Yingshan, et al.
Published: (2025)

Silent Tokens, Loud Effects: Padding in LLMs
by: Himelstein, Rom, et al.
Published: (2025)

Is there Value in Reinforcement Learning?
by: Fox, Lior, et al.
Published: (2025)

EXP-CAM: Explanation Generation and Circuit Discovery Using Classifier Activation Matching
by: Suhail, Pirzada, et al.
Published: (2025)

Privacy Preserving Properties of Vision Classifiers
by: Suhail, Pirzada, et al.
Published: (2025)

The Role of Causal Features in Strategic Classification for Robustness and Alignment
by: Gois, Antonio, et al.
Published: (2026)

Network Inversion for Generating Confidently Classified Counterfeits
by: Suhail, Pirzada, et al.
Published: (2025)

Mamba Knockout for Unraveling Factual Information Flow
by: Endy, Nir, et al.
Published: (2025)

Synthetic-Powered Predictive Inference
by: Bashari, Meshi, et al.
Published: (2025)

Statistically Truthful Auctions via Acceptance Rule
by: Lotan, Roy Maor, et al.
Published: (2024)

Hidden Breakthroughs in Language Model Training
by: Kangaslahti, Sara, et al.
Published: (2025)

Statistical Inference Leveraging Synthetic Data with Distribution-Free Guarantees
by: Bashari, Meshi, et al.
Published: (2025)

Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation
by: Nuri, Itai, et al.
Published: (2024)

Planar RG Flows on Line Defects
by: Nagar, Ivri, et al.
Published: (2024)

OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning
by: Lang, Natalie, et al.
Published: (2025)

CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators
by: Kumar, Amit, et al.
Published: (2025)

BXRL: Behavior-Explainable Reinforcement Learning
by: Rachum, Ram, et al.
Published: (2026)

Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming
by: Levy, Ohad, et al.
Published: (2024)

Adaptive Deadline and Batch Layered Synchronized Federated Learning
by: Goren, Asaf, et al.
Published: (2025)

Language Models Need Inductive Biases to Count Inductively
by: Chang, Yingshan, et al.
Published: (2024)

On the Expressive Power of Sparse Geometric MPNNs
by: Sverdlov, Yonatan, et al.
Published: (2024)

Position: The Time for Sampling Is Now! Charting a New Course for Bayesian Deep Learning
by: Sommer, Emanuel, et al.
Published: (2026)

Federated Learning with Discriminative Naive Bayes Classifier
by: Torrijos, Pablo, et al.
Published: (2025)

Decentralized Federated Learning of Probabilistic Generative Classifiers
by: Pérez, Aritz, et al.
Published: (2025)

NPSVC++: Nonparallel Classifiers Encounter Representation Learning
by: Zhang, Junhong, et al.
Published: (2024)

An Unsupervised Learning Classifier with Competitive Error Performance
by: Nissani, Daniel N.
Published: (2018)

Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear Classifiers
by: Liu, Jinlin, et al.
Published: (2026)

Toy Combinatorial Interpretability Models Reveal Lottery Tickets in Early Feature Space
by: Bebchuk, Alon, et al.
Published: (2026)

Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence
by: Pulick, Eric, et al.
Published: (2026)