Showing 1–20 of 33 results
/ Date/ Name
Aug 19, 2019Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously Unseen Food ItemsNov 2, 2019Robust Control Optimization for Quantum Approximate Optimization AlgorithmApr 28, 2024GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among GenesApr 13, 2026Computation of Least Trimmed Squares: A Branch-and-Bound framework with Hyperplane Arrangement EnhancementsNov 12, 2024Integrating Chaotic Evolutionary and Local Search Techniques in Decision Space for Enhanced Evolutionary Multi-Objective OptimizationNov 8, 2024Caliper Synthetic Matching: Generalized Radius Matching with Local Synthetic ControlsJul 29, 2019An exact penalty approach for optimization with nonnegative orthogonality constraintsJan 3, 2025Evaluation of the HeartSteps Online Sampling AlgorithmMar 2, 2024OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial OptimizationMar 11, 2024FALCON: FLOP-Aware Combinatorial Optimization for Neural Network PruningJul 6, 2019Dynamic Mean-Variance Portfolio OptimisationMay 27, 2021REFINE2: A tool to evaluate real-world performance of machine-learning based effect estimators for molecular and clinical studiesJun 12, 2025Variance estimation after matching or re-weightingJun 12, 2024ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language ModelsJun 23, 2022Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous FeaturesFeb 13, 2026Efficient and Debiased Learning of Average Hazard Under Non-Proportional HazardsMar 2, 2025Time-Varying Causal Survival LearningMay 29, 2025TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse MasksMar 2, 20263BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMsSep 24, 2017Coherent modeling of longitudinal causal effects on binary outcomes