scalable

Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large p ICML 2025 Accelerating Unbiased LLM Evaluation via Synthetic Feedback ICML 2025 An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale ICML 2025 DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning ICML 2025 Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems ICML 2025 Near-Optimal Decision Trees in a SPLIT Second ICML 2025 Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery ICML 2025 Position: Graph Matching Systems Deserve Better Benchmarks ICML 2025 Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model ICML 2025 Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients ICML 2024 Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching ICML 2024 Self-Composing Policies for Scalable Continual Reinforcement Learning ICML 2024 Slot Abstractors: Toward Scalable Abstract Visual Reasoning ICML 2024