Optimization

Projection-Free Online Convex Optimization with Time-Varying Constraints ICML 2024 Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization ICML 2024 PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates JMLR 2024 Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models CVPR 2024 Proper Laplacian Representation Learning ICLR 2024 Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach NeurIPS 2024 Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks NeurIPS 2024 Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks IJCAI 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression NeurIPS 2024 Provable Editing of Deep Neural Networks using Parametric Linear Relaxation NeurIPS 2024 Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains AISTATS 2024 Provably Better Explanations with Optimized Aggregation of Feature Attributions ICML 2024 Provably Convergent Federated Trilevel Learning AAAI 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NeurIPS 2024 Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling NeurIPS 2024 Provably Robust Conformal Prediction with Improved Efficiency ICLR 2024 Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction NeurIPS 2024 Pruning Foundation Models for High Accuracy without Retraining EMNLP 2024 Pruning neural network models for gene regulatory dynamics using data and domain knowledge NeurIPS 2024 PSC: Extending Context Window of Large Language Models via Phase Shift Calibration EMNLP 2024 P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models ACL 2024 Public-data Assisted Private Stochastic Optimization: Power and Limitations NeurIPS 2024 Pursuing Overall Welfare in Federated Learning through Sequential Decision Making ICML 2024 Pursuit of the Cluster Structure of Network Lasso: Recovery Condition and Non-convex Extension JMLR 2024 PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference ACL 2024