Optimization

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts ACL 2024 mmComb: High-speed mmWave Commodity WiFi Backscatter NSDI 2024 MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance ICML 2024 Model Alignment as Prospect Theoretic Optimization ICML 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Model Based Inference of Synaptic Plasticity Rules NeurIPS 2024 Model-based Reinforcement Learning for Parameterized Action Spaces ICML 2024 Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue EMNLP 2024 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NeurIPS 2024 Model Merging by Uncertainty-Based Gradient Matching ICLR 2024 MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition EMNLP 2024 Molecular Optimization Model with Patentability Constraint AAAI 2024 Mollification Effects of Policy Gradient Methods ICML 2024 Momentum Benefits Non-iid Federated Learning Simply and Provably ICLR 2024 Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments ICML 2024 Momentum Particle Maximum Likelihood ICML 2024 MoMo: Momentum Models for Adaptive Learning Rates ICML 2024 Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks ICML 2024 Monotone Individual Fairness ICML 2024 Monotonic Paraphrasing Improves Generalization of Language Model Prompting EMNLP 2024 Monte Carlo Tree Search based Space Transfer for Black Box Optimization NeurIPS 2024 Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy ICML 2024 More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory ICLR 2024 More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling NAACL 2024 MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024