conftrace_

gradient estimation

150 papers

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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

S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training NIPS 2024
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models NIPS 2024
Differentiable Quantum Computing for Large-scale Linear Control NIPS 2024
Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024
ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization NIPS 2024
On Divergence Measures for Training GFlowNets NIPS 2024
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models NIPS 2024
How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization? NIPS 2024
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NIPS 2024
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors IJCAI 2023
First Order Stochastic Optimization with Oblivious Noise NIPS 2023
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping AAAI 2023
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023
Black-Box Adversarial Attack on Time Series Classification AAAI 2023
Stable and low-precision training for large-scale vision-language models NIPS 2023
CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single ICML 2023
Efficient Quantum Algorithms for Quantum Optimal Control ICML 2023
Weighted Sampling without Replacement for Deep Top-$k$ Classification ICML 2023
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining AISTATS 2023
Can Forward Gradient Match Backpropagation? ICML 2023
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies NIPS 2023
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models AAAI 2023
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick NIPS 2023