:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Soleymani, Dorsa, Dadsetan, Ali, Rudzicz, Frank
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2510.01447
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can large language models be privacy preserving and fair medical coders?
by: Dadsetan, Ali, et al.
Published: (2024)

GeoClip: Geometry-Aware Clipping for Differentially Private SGD
by: Gilani, Atefeh, et al.
Published: (2025)

Differentially Private Clipped-SGD: High-Probability Convergence with Arbitrary Clipping Level
by: Khah, Saleh Vatan, et al.
Published: (2025)

To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions
by: Marshall, Noah, et al.
Published: (2024)

It's Not You, It's Clipping: A Soft Trust-Region via Probability Smoothing for LLM RL
by: Dwyer, Madeleine, et al.
Published: (2025)

AdaDPIGU: Differentially Private SGD with Adaptive Clipping and Importance-Based Gradient Updates for Deep Neural Networks
by: Zhang, Huiqi, et al.
Published: (2025)

Adaptive Sampling and Clipping for Private Worst-Case Group Optimization
by: Cairney-Leeming, Max, et al.
Published: (2026)

Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed
by: Chezhegov, Savelii, et al.
Published: (2024)

ConfClip: Confidence-Weighted and Clipped Reward for Reinforcement Learning in LLMs
by: Zhang, Bonan, et al.
Published: (2025)

PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping
by: Huang, Nai-Chieh, et al.
Published: (2023)

MuCon: Clipped Muon Updates for LLM Training
by: Yi, Albert
Published: (2026)

Clip-Low Increases Entropy and Clip-High Decreases Entropy in Reinforcement Learning of Large Language Models
by: Park, Jaesung R., et al.
Published: (2025)

Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach
by: Zhang, Xinwei, et al.
Published: (2023)

Efficient Private SCO for Heavy-Tailed Data via Averaged Clipping
by: Jin, Chenhan, et al.
Published: (2022)

Clip Your Sequences Fairly: Enforcing Length Fairness for Sequence-Level RL
by: Mao, Hanyi, et al.
Published: (2025)

Robust and Fast Training via Per-Sample Clipping
by: Nobile, Davide, et al.
Published: (2026)

ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation
by: Bhattacharjee, Abhiroop, et al.
Published: (2024)

Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Clipping Bias and Remedies
by: Li, Qiang, et al.
Published: (2024)

Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness
by: Pethick, Thomas, et al.
Published: (2025)

Spectrum Extraction and Clipping for Implicitly Linear Layers
by: Boroojeny, Ali Ebrahimpour, et al.
Published: (2024)

Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
by: Su, Zhenpeng, et al.
Published: (2025)

Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity
by: Gorbunov, Eduard, et al.
Published: (2024)

Clipping-Free Policy Optimization for Large Language Models
by: Çağatan, Ömer Veysel, et al.
Published: (2026)

AGGC: Adaptive Group Gradient Clipping for Stabilizing Large Language Model Training
by: Li, Zhiyuan, et al.
Published: (2026)

Feature Clipping for Uncertainty Calibration
by: Tao, Linwei, et al.
Published: (2024)

Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
by: Zhou, Duo, et al.
Published: (2025)

Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks
by: Tucat, Matteo, et al.
Published: (2024)

Adaptive Gradient Clipping for Robust Federated Learning
by: Allouah, Youssef, et al.
Published: (2024)

Enhanced Generative Model Evaluation with Clipped Density and Coverage
by: Salvy, Nicolas, et al.
Published: (2025)

Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping
by: Pelikan, Martin, et al.
Published: (2023)

DCPO: Dynamic Clipping Policy Optimization
by: Yang, Shihui, et al.
Published: (2025)

On the Convergence of DP-SGD with Adaptive Clipping
by: Shulgin, Egor, et al.
Published: (2024)

Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping
by: Zhao, Linzh, et al.
Published: (2025)

Logits Replay + MoClip: Stabilized, Low-Cost Post-Training with Minimal Forgetting
by: Qiu, Suming, et al.
Published: (2025)

ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNs
by: Mousavi, Seyedhamidreza, et al.
Published: (2024)

Non-Asymptotic Global Convergence of PPO-Clip
by: Liu, Yin, et al.
Published: (2025)

Weight Clipping for Deep Continual and Reinforcement Learning
by: Elsayed, Mohamed, et al.
Published: (2024)

Convergence of Clipped-SGD for Convex $(L_0,L_1)$-Smooth Optimization with Heavy-Tailed Noise
by: Chezhegov, Savelii, et al.
Published: (2025)

DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models
by: Mehmood, Haaris, et al.
Published: (2026)

Robust Stochastic Optimization via Gradient Quantile Clipping
by: Merad, Ibrahim, et al.
Published: (2023)