conftrace_

gradient estimation

150 papers

Explore in graph

Co-occurring keywords

variance reduction (523) reinforcement learning (4352) zeroth-order optimization (102) policy gradient (520) adversarial attack (1621) stochastic optimization (1060) variational inference (2069) generative model (2892) large language model (13587) black-box attack (237)

Papers

Enhancing DPSGD via Per-Sample Momentum and Low-Pass Filtering AAAI 2026
Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models EACL 2026
Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning ACL 2026
Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-tuning AAAI 2026
Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks AAAI 2026
T-SKM-Net: Trainable Neural Network Framework for Linear Constraint Satisfaction via Sampling Kaczmarz-Motzkin Method AAAI 2026
Training Long-Context LLMs Efficiently via Chunk-wise Optimization ACL 2025
LimaCost: Data Valuation for Instruction Tuning of Large Language Models EMNLP 2025
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding EMNLP 2025
On Corruption-Robustness in Performative Reinforcement Learning AAAI 2025
MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines EMNLP 2025
Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025
Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices EMNLP 2025
Zeroth-Order Fine-Tuning of LLMs in Random Subspaces ICCV 2025
MUZO: Leveraging Multiple Queries and Momentum for Zeroth-Order Fine-Tuning of Large Language Models EMNLP 2025
Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation EMNLP 2025
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation AAAI 2025
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models NIPS 2024
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NIPS 2024
Differentiable Quantum Computing for Large-scale Linear Control NIPS 2024
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality NIPS 2024
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing CVPR 2024
ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization NIPS 2024
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NIPS 2024
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training NIPS 2024