Optimization

Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets AISTATS 2023 Minimax AUC Fairness: Efficient Algorithm with Provable Convergence AAAI 2023 Minimax estimation of discontinuous optimal transport maps: The semi-discrete case ICML 2023 Minimax Risk Classifiers with 0-1 Loss JMLR 2023 Minimizing Maximum Model Discrepancy for Transferable Black-Box Targeted Attacks CVPR 2023 Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation CVPR 2023 Minimizing Trajectory Curvature of ODE-based Generative Models ICML 2023 Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning ICLR 2023 Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes ICML 2023 Mitigating Dataset Bias by Using Per-Sample Gradient ICLR 2023 Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract) AAAI 2023 Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals NeurIPS 2023 Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling ICML 2023 Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses ACL 2023 MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction EMNLP 2023 Mixed Linear Regression via Approximate Message Passing AISTATS 2023 Mixed Regression via Approximate Message Passing JMLR 2023 Mixed-Variable Black-Box Optimisation Using Value Proposal Trees AAAI 2023 Mixing Predictions for Online Metric Algorithms ICML 2023 Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling AAAI 2023 Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation NeurIPS 2023 MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates NeurIPS 2023 M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation ICLR 2023 MMVC: Learned Multi-Mode Video Compression With Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding CVPR 2023 Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM NeurIPS 2023