:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pour, Alireza F., Ben-David, Shai
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2511.09996
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning with Multiple Correct Answers -- A Trichotomy of Regret Bounds under Different Feedback Models
by: Pour, Alireza F., et al.
Published: (2026)

Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity
by: Pour, Alireza F., et al.
Published: (2023)

Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph
by: Kamath, Gautam, et al.
Published: (2025)

Relatively Smart: A New Approach for Instance-Optimal Learning
by: Dughmi, Shaddin, et al.
Published: (2026)

Learning from positive and unlabeled examples -Finite size sample bounds
by: Mansouri, Farnam, et al.
Published: (2025)

Online Learning with Improving Agents: Multiclass, Budgeted Agents and Bandit Learners
by: Ashkezari, Sajad, et al.
Published: (2026)

In-Context Learning with Hypothesis-Class Guidance
by: Lin, Ziqian, et al.
Published: (2025)

Active learning from positive and unlabeled examples
by: Mansouri, Farnam, et al.
Published: (2026)

From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models
by: Wen, Xumeng, et al.
Published: (2023)

Leave-One-Out Prediction for General Hypothesis Classes
by: Qian, Jian, et al.
Published: (2026)

Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations
by: Woo, Jiin, et al.
Published: (2025)

Learning to Score
by: Kriger, Yogev, et al.
Published: (2025)

A Practical Approach to Novel Class Discovery in Tabular Data
by: Troisemaine, Colin, et al.
Published: (2023)

Class-Dependent Hybrid Data Augmentation for Multiclass Migraine Classification under Severe Class Imbalance
by: Somón, Elvin, et al.
Published: (2026)

Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
by: Wang, Shuyao, et al.
Published: (2024)

Applying Machine Learning Tools for Urban Resilience Against Floods
by: Pour, Mahla Ardebili, et al.
Published: (2024)

Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
by: Dupuis, Benjamin, et al.
Published: (2024)

SALSA: Single-pass Autoregressive LLM Structured Classification
by: Berdichevsky, Ruslan, et al.
Published: (2025)

Your Data, My Model: Learning Who Really Helps in Federated Learning
by: Abdurakhmanova, Shamsiiat, et al.
Published: (2024)

EDN: A Novel Edge-Dependent Noise Model for Graph Data
by: Kumar, Pintu, et al.
Published: (2025)

A Novel Dependency Framework for Enhancing Discourse Data Analysis
by: Sun, Kun, et al.
Published: (2024)

Dependent Latent Class Models
by: Bowers, Jesse, et al.
Published: (2022)

CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series
by: Chang, Tien-Yu, et al.
Published: (2024)

Distribution Learnability and Robustness
by: Ben-David, Shai, et al.
Published: (2024)

Robust Conformal Prediction Using Privileged Information
by: Feldman, Shai, et al.
Published: (2024)

How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation
by: Feldman, Shai, et al.
Published: (2026)

Hypothesis Testing the Circuit Hypothesis in LLMs
by: Shi, Claudia, et al.
Published: (2024)

DeepBoost-AF: A Novel Unsupervised Feature Learning and Gradient Boosting Fusion for Robust Atrial Fibrillation Detection in Raw ECG Signals
by: Jafari, Alireza, et al.
Published: (2025)

Hypothesis Class Determines Explanation: Why Accurate Models Disagree on Feature Attribution
by: B, Thackshanaramana
Published: (2026)

A Novel Paradigm in Solving Multiscale Problems
by: Wang, Jing, et al.
Published: (2024)

Learning graph topology from metapopulation epidemic encoder-decoder
by: Li, Xin, et al.
Published: (2026)

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
by: Wu, Xiang, et al.
Published: (2025)

Causal Representation Learning on High-Dimensional Data: Benchmarks, Reproducibility, and Evaluation Metrics
by: Sadeghi, Alireza, et al.
Published: (2026)

Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning
by: Yang, Fuchao, et al.
Published: (2024)

Research Program: Theory of Learning in Dynamical Systems
by: Hazan, Elad, et al.
Published: (2025)

Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
by: Liang, Jinglin, et al.
Published: (2024)

A Class of Dependent Random Distributions Based on Atom Skipping
by: Bi, Dehua, et al.
Published: (2023)

Robust Kernel Hypothesis Testing under Data Corruption
by: Schrab, Antonin, et al.
Published: (2024)

Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
by: Dutta, Siddhant, et al.
Published: (2024)

Hypothesis Spaces for Deep Learning
by: Wang, Rui, et al.
Published: (2024)