Optimization

Moccasin: Efficient Tensor Rematerialization for Neural Networks ICML 2023 Model-Based Offline Reinforcement Learning with Local Misspecification AAAI 2023 Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation AAAI 2023 Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms NeurIPS 2023 Model-Free Robust Average-Reward Reinforcement Learning ICML 2023 Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing NeurIPS 2023 Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023 Model Predictive Control with Reach-avoid Analysis IJCAI 2023 Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning ICLR 2023 Module-wise Training of Neural Networks via the Minimizing Movement Scheme NeurIPS 2023 MomentDiff: Generative Video Moment Retrieval from Random to Real NeurIPS 2023 Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions ICML 2023 Momentum Provably Improves Error Feedback! NeurIPS 2023 Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport ICLR 2023 Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture NeurIPS 2023 MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows ICML 2023 Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design EMNLP 2023 MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope ICCV 2023 Motion Information Propagation for Neural Video Compression CVPR 2023 MOT: Masked Optimal Transport for Partial Domain Adaptation CVPR 2023 MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition EMNLP 2023 MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model AAAI 2023 MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks ICML 2023 Multi-Agent Automated Machine Learning CVPR 2023 Multi-Agent congestion cost minimization with linear function approximations AISTATS 2023