scalable algorithm

Aligned Multi Objective Optimization ICML 2025 A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward ICML 2025 Scalable Decentralized Learning with Teleportation ICLR 2025 BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 2024 Fast Algorithms for Hypergraph PageRank with Applications to Semi-Supervised Learning ICML 2024 Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time AAAI 2024 Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap JMLR 2024 A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs NeurIPS 2023 Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning ICML 2023 MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library JMLR 2023 Robust and Scalable Bayesian Online Changepoint Detection ICML 2023 Scalable Causal Discovery with Score Matching CLeaR 2023 Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies AAAI 2023 TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs AAAI 2023 Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution NeurIPS 2022 Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning AAAI 2022 Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022 Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees ICML 2021 BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks PGM 2020 FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria AAAI 2020 FlowScope: Spotting Money Laundering Based on Graphs AAAI 2020 Median Matrix Completion: from Embarrassment to Optimality ICML 2020 MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs AAAI 2020 Compact Representation of Value Function in Partially Observable Stochastic Games IJCAI 2019 Large Scale Graph Learning From Smooth Signals ICLR 2019