Optimization

MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning EMNLP 2024 MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness ICML 2024 MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024 Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization AAAI 2024 Minimal Perspective Autocalibration CVPR 2024 Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NeurIPS 2024 Minimizing f-Divergences by Interpolating Velocity Fields ICML 2024 Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning WACV 2024 Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents AAAI 2024 Minimum Entropy Coupling with Bottleneck NeurIPS 2024 Mirror and Preconditioned Gradient Descent in Wasserstein Space NeurIPS 2024 Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract COLT 2024 MiSO: Optimizing brain stimulation to create neural population activity states NeurIPS 2024 Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization ICML 2024 Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning COLT 2024 Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD) ACL 2024 Mitigating Metric Bias in Minimum Bayes Risk Decoding EMNLP 2024 Mitigating Motion Blur in Neural Radiance Fields with Events and Frames CVPR 2024 Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss ICML 2024 Mitigating Semantic Leakage in Cross-lingual Embeddings via Orthogonality Constraint ACL 2024 Mitigating Spurious Correlations via Disagreement Probability NeurIPS 2024 Mitigating the Alignment Tax of RLHF EMNLP 2024 Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging EMNLP 2024 Mitigating Underfitting in Learning to Defer with Consistent Losses AISTATS 2024 Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models EMNLP 2024