Optimization

Optimizing importance weighting in the presence of sub-population shifts ICLR 2025 Optimizing Lifelong Fine-Tuning for Multiple Tasks via Dataless Distribution Replay COLING 2025 Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs CLeaR 2025 Optimizing Neural Network Representations of Boolean Networks ICLR 2025 Optimizing Noise Distributions for Differential Privacy ICML 2025 Optimizing Parameters of Quantum Circuits with Sparsity-Inducing Coordinate Descent IJCAI 2025 Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models ACL 2025 Optimizing Reasoning for Text-to-SQL with Execution Feedback ACL 2025 Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design ICML 2025 Optimizing Temperature for Language Models with Multi-Sample Inference ICML 2025 Optimizing Test-Time Compute via Meta Reinforcement Finetuning ICML 2025 OptiPrune: Effective Pruning Approach for Every Target Sparsity COLING 2025 OptiSeq: Ordering Examples On-The-Fly for In-Context Learning EMNLP 2025 OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling ICML 2025 ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities EMNLP 2025 Orthogonal Finetuning Made Scalable EMNLP 2025 Oscillation-Reduced MXFP4 Training for Vision Transformers ICML 2025 OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting ICLR 2025 OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems AAAI 2025 OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion AAAI 2025 O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models CVPR 2025 OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer AAAI 2025 Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models ICML 2025 Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025 Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization ICLR 2025