Saved in:
| Main Authors: | Shoham, Tomer, Ligettt, Katrina |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.20351 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentially Private Nonparametric Confidence Intervals Under Minimal Distributional Assumptions
by: Shoham, Tomer, et al.
Published: (2025)
by: Shoham, Tomer, et al.
Published: (2025)
Resampling methods for private statistical inference
by: Chadha, Karan, et al.
Published: (2024)
by: Chadha, Karan, et al.
Published: (2024)
Robust CATE Estimation Using Novel Ensemble Methods
by: Machluf, Oshri, et al.
Published: (2024)
by: Machluf, Oshri, et al.
Published: (2024)
Differentially private Bayesian tests
by: Chakraborty, Abhisek, et al.
Published: (2024)
by: Chakraborty, Abhisek, et al.
Published: (2024)
Differentially private synthesis of Spatial Point Processes
by: Kim, Dangchan, et al.
Published: (2025)
by: Kim, Dangchan, et al.
Published: (2025)
Accurate, private, secure, federated U-statistics with higher degree
by: Sinh, Quentin, et al.
Published: (2026)
by: Sinh, Quentin, et al.
Published: (2026)
Unbiased Stochastic Optimization for Gaussian Processes on Finite Dimensional RKHS
by: Shoham, Neta, et al.
Published: (2025)
by: Shoham, Neta, et al.
Published: (2025)
Balancing Coverage and Draft Latency in Vocabulary Trimming for Faster Speculative Decoding
by: Shoham, Ofir Ben
Published: (2026)
by: Shoham, Ofir Ben
Published: (2026)
Differentially private and decentralized randomized power method
by: Nicolas, Julien, et al.
Published: (2024)
by: Nicolas, Julien, et al.
Published: (2024)
How Well Can Differential Privacy Be Audited in One Run?
by: Keinan, Amit, et al.
Published: (2025)
by: Keinan, Amit, et al.
Published: (2025)
MedConceptsQA: Open Source Medical Concepts QA Benchmark
by: Shoham, Ofir Ben, et al.
Published: (2024)
by: Shoham, Ofir Ben, et al.
Published: (2024)
Differentially private multivariate medians
by: Ramsay, Kelly, et al.
Published: (2022)
by: Ramsay, Kelly, et al.
Published: (2022)
Flatness After All?
by: Shoham, Neta, et al.
Published: (2025)
by: Shoham, Neta, et al.
Published: (2025)
DNA: Differentially private Neural Augmentation for contact tracing
by: Romijnders, Rob, et al.
Published: (2024)
by: Romijnders, Rob, et al.
Published: (2024)
Differentially private projection-depth-based medians
by: Ramsay, Kelly, et al.
Published: (2023)
by: Ramsay, Kelly, et al.
Published: (2023)
Understanding Understanding: A Pragmatic Framework Motivated by Large Language Models
by: Leyton-Brown, Kevin, et al.
Published: (2024)
by: Leyton-Brown, Kevin, et al.
Published: (2024)
CPLLM: Clinical Prediction with Large Language Models
by: Shoham, Ofir Ben, et al.
Published: (2023)
by: Shoham, Ofir Ben, et al.
Published: (2023)
The Fast Mixing Mechanism for Differential Privacy
by: Lev, Omri, et al.
Published: (2026)
by: Lev, Omri, et al.
Published: (2026)
Directional-Clamp PPO
by: Karpel, Gilad, et al.
Published: (2025)
by: Karpel, Gilad, et al.
Published: (2025)
Displacement-Resistant Extensions of DPO with Nonconvex $f$-Divergences
by: Pipano, Idan, et al.
Published: (2026)
by: Pipano, Idan, et al.
Published: (2026)
The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
by: Lev, Omri, et al.
Published: (2025)
by: Lev, Omri, et al.
Published: (2025)
Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification
by: Schliserman, Matan, et al.
Published: (2025)
by: Schliserman, Matan, et al.
Published: (2025)
Exact Mean Square Linear Stability Analysis for SGD
by: Mulayoff, Rotem, et al.
Published: (2023)
by: Mulayoff, Rotem, et al.
Published: (2023)
Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization
by: Schliserman, Matan, et al.
Published: (2024)
by: Schliserman, Matan, et al.
Published: (2024)
A New Analysis of Differential Privacy's Generalization Guarantees
by: Jung, Christopher, et al.
Published: (2019)
by: Jung, Christopher, et al.
Published: (2019)
Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks
by: Shoham, Elad, et al.
Published: (2024)
by: Shoham, Elad, et al.
Published: (2024)
Discrete-time Competing-Risks Regression with or without Penalization
by: Meir, Tomer, et al.
Published: (2023)
by: Meir, Tomer, et al.
Published: (2023)
Approximating Uniform Random Rotations by Two-Block Structured Hadamard Rotations in High Dimensions
by: Zilca, Tomer, et al.
Published: (2026)
by: Zilca, Tomer, et al.
Published: (2026)
Near-Optimal differentially private low-rank trace regression with guaranteed private initialization
by: Zha, Mengyue
Published: (2024)
by: Zha, Mengyue
Published: (2024)
ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment
by: Borreda, Tomer, et al.
Published: (2024)
by: Borreda, Tomer, et al.
Published: (2024)
Applications of Random Matrix Theory in Machine Learning and Brain Mapping
by: Lawrence, Katrina
Published: (2025)
by: Lawrence, Katrina
Published: (2025)
Fair Decisions from Calibrated Scores: Achieving Optimal Classification While Satisfying Sufficiency
by: Benger, Etam, et al.
Published: (2026)
by: Benger, Etam, et al.
Published: (2026)
Generalization in the Face of Adaptivity: A Bayesian Perspective
by: Shenfeld, Moshe, et al.
Published: (2021)
by: Shenfeld, Moshe, et al.
Published: (2021)
Prediction-Powered Semi-Supervised Learning with Online Power Tuning
by: Shoham, Noa, et al.
Published: (2025)
by: Shoham, Noa, et al.
Published: (2025)
Differentially private federated learning for localized control of infectious disease dynamics
by: Kerkouche, Raouf, et al.
Published: (2025)
by: Kerkouche, Raouf, et al.
Published: (2025)
Learning Rate Annealing Improves Tuning Robustness in Stochastic Optimization
by: Attia, Amit, et al.
Published: (2025)
by: Attia, Amit, et al.
Published: (2025)
From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards
by: Erez, Liad, et al.
Published: (2025)
by: Erez, Liad, et al.
Published: (2025)
How Free is Parameter-Free Stochastic Optimization?
by: Attia, Amit, et al.
Published: (2024)
by: Attia, Amit, et al.
Published: (2024)
The Universe as a Learning System
by: Shushi, Tomer
Published: (2024)
by: Shushi, Tomer
Published: (2024)
On the Alignment Between Supervised and Self-Supervised Contrastive Learning
by: Luthra, Achleshwar, et al.
Published: (2025)
by: Luthra, Achleshwar, et al.
Published: (2025)
Similar Items
-
Differentially Private Nonparametric Confidence Intervals Under Minimal Distributional Assumptions
by: Shoham, Tomer, et al.
Published: (2025) -
Resampling methods for private statistical inference
by: Chadha, Karan, et al.
Published: (2024) -
Robust CATE Estimation Using Novel Ensemble Methods
by: Machluf, Oshri, et al.
Published: (2024) -
Differentially private Bayesian tests
by: Chakraborty, Abhisek, et al.
Published: (2024) -
Differentially private synthesis of Spatial Point Processes
by: Kim, Dangchan, et al.
Published: (2025)