loss minimization

LLM4DistReconfig: A Fine-tuned Large Language Model for Power Distribution Network Reconfiguration NAACL 2025 Omnipredictors for regression and the approximate rank of convex functions COLT 2024 Soft ascent-descent as a stable and flexible alternative to flooding NeurIPS 2024 A Unified Framework for Rank-based Loss Minimization NeurIPS 2023 Omnipredictors for Constrained Optimization ICML 2023 Active Sampling for Min-Max Fairness ICML 2022 PALM: Probabilistic area loss Minimization for Protein Sequence Alignment UAI 2021 Distributed Coordinate Descent Method for Learning with Big Data JMLR 2016 SDCA without Duality, Regularization, and Individual Convexity ICML 2016 Direct 0-1 Loss Minimization and Margin Maximization with Boosting NeurIPS 2013 Prediction strategies without loss NeurIPS 2011 Direct Loss Minimization for Structured Prediction NeurIPS 2010