Optimization

A Primal-Dual Algorithm for Hybrid Federated Learning AAAI 2024 A Primal-Dual Approach to Solving Variational Inequalities with General Constraints ICLR 2024 A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints NeurIPS 2024 A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning AISTATS 2024 A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity JMLR 2024 A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NeurIPS 2024 A Provably Accurate Randomized Sampling Algorithm for Logistic Regression AAAI 2024 A Quantum-Inspired Matching Network with Linguistic Theories for Metaphor Detection COLING 2024 A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness JMLR 2024 A Recipe for Scaling up Text-to-Video Generation with Text-free Videos CVPR 2024 Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024 Are Graph Neural Networks Optimal Approximation Algorithms? NeurIPS 2024 A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder COLING 2024 Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content? EMNLP 2024 ARGS: Alignment as Reward-Guided Search ICLR 2024 Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards ACL 2024 A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER ICLR 2024 ARTEMIS: Adaptive Bitrate Ladder Optimization for Live Video Streaming NSDI 2024 A Sequentially Fair Mechanism for Multiple Sensitive Attributes AAAI 2024 A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of Θ(T^2/3) and its Application to Best-of-Both-Worlds NeurIPS 2024 A Simple and Optimal Approach for Universal Online Learning with Gradient Variations NeurIPS 2024 A Simple and Yet Fairly Effective Defense for Graph Neural Networks AAAI 2024 A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences NeurIPS 2024 A Single Linear Layer Yields Task-Adapted Low-Rank Matrices COLING 2024 A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training NeurIPS 2024