Optimization

Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise NeurIPS 2023 Improved Convergence of Differential Private SGD with Gradient Clipping ICLR 2023 Improved Dynamic Regret for Online Frank-Wolfe COLT 2023 Improved Powered Stochastic Optimization Algorithms for Large-Scale Machine Learning JMLR 2023 Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation ICML 2023 Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs ICML 2023 Improved Test-Time Adaptation for Domain Generalization CVPR 2023 Improving Adversarial Robustness via Information Bottleneck Distillation NeurIPS 2023 Improving Adversarial Transferability via Intermediate-level Perturbation Decay NeurIPS 2023 Improving Autoregressive Grammatical Error Correction with Non-autoregressive Models ACL 2023 Improving Bi-level Optimization Based Methods with Inspiration from Humans’ Classroom Study Techniques ICML 2023 Improving Differentiable Neural Architecture Search by Encouraging Transferability ICLR 2023 Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining AISTATS 2023 Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation ICCV 2023 Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level CVPR 2023 Improving Generalization With Domain Convex Game CVPR 2023 Improving Gradient Computation for Differentiable Physics Simulation with Contacts L4DC 2023 Improving Gradient Trade-offs between Tasks in Multi-task Text Classification ACL 2023 Improving Label Assignments Learning by Dynamic Sample Dropout Combined with Layer-wise Optimization in Speech Separation Interspeech 2023 Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding IJCAI 2023 Improving Multi-Fidelity Optimization With a Recurring Learning Rate for Hyperparameter Tuning WACV 2023 Improving Summarization with Human Edits EMNLP 2023 Improving the Knowledge Gradient Algorithm NeurIPS 2023 Improving the Model Consistency of Decentralized Federated Learning ICML 2023 Improving the robustness of NLI models with minimax training ACL 2023