conftrace_

scalable algorithm

44 papers

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Co-occurring keywords

matrix completion (356) distributed learning (563) anomaly detection (747) stochastic optimization (1060) separable matrix (2) bayesian network (378) support vector machine (978) stochastic variational inference (59) low-rank matrix (174) singular value decomposition (222)

Papers

Scalable Decentralized Learning with Teleportation ICLR 2025
BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 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
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
Scalable Causal Discovery with Score Matching CLEAR 2023
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs AAAI 2023
Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies AAAI 2023
Robust and Scalable Bayesian Online Changepoint Detection ICML 2023
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs NIPS 2023
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
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution NIPS 2022
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees ICML 2021
FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria AAAI 2020
Median Matrix Completion: from Embarrassment to Optimality ICML 2020
MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs AAAI 2020
BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks PGM 2020
FlowScope: Spotting Money Laundering Based on Graphs AAAI 2020
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices CVPR 2019
X-DMM: Fast and Scalable Model Based Text Clustering AAAI 2019
SepNE: Bringing Separability to Network Embedding AAAI 2019
Large-Scale Heterogeneous Feature Embedding AAAI 2019
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction JMLR 2019