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gharsallah

agharsallah

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gharsallah

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agharsallah 's Spaces 192

Repro - Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization

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Repro - VCG-Bench: Towards A Unified Visual-Centric Benchmark for Structured Generation and Editing

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Towards Understanding Adam Convergence on Highly Degenerate Polynomials

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Repro - Latent Collaboration in Multi-Agent Systems

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Repro - Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning

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Repro - Stability beyond Bounded Differences: Sharp Generalization Bounds under Finite $L_p$ Moments

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Repro - Tight Stability Bounds for Robust Distributed Learning: Byzantine Failures Hurt Generalization More than Data Poisoning

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Repro - Quadratically Regularized Optimal Transport: Localization Bounds and Affine Case Analysis

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Repro - Parameter-free Dynamic Regret: Time-varying Movement Costs, Delayed Feedback, and Memory

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Repro - On the Sharp Input-Output Analysis of Nonlinear Systems under Adversarial Attacks

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Repro - Estimating Continuous Treatment Effects with Two-Stage Kernel Ridge Regression

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Repro - High-accuracy sampling for diffusion models and log-concave distributions

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Repro - Efficient privacy loss accounting for subsampling and random allocation

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Repro - A Theoretical Framework for Statistical Evaluability of Generative Models

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Repro - Bridging the Gap Between Average and Discounted TD Learning

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Repro - Convex Basins in Single-Index Model Loss Landscapes: Applications to Robust Recovery under Strong Adversarial Corruption

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Repro - Prior Diffusiveness and Regret in the Linear-Gaussian Bandit

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Partial Identification under High-Dimensional Potential Outcomes and Confounders via Optimal Transport

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Priority-Aware Shapley Value

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Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks

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On the Power of Source Screening for Learning Shared Feature Extractors

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Finding Most Influential Sets

Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better

Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning