random graph
PulseAugur coverage of random graph — every cluster mentioning random graph across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New algebraic identity unifies information theory results
A new paper introduces a unified algebraic identity that connects various information-theoretic variational results. This identity generalizes classical formulas for entropy and divergence to multiple priors and holds f…
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New semi-random models challenge planted subgraph detection
Researchers have introduced semi-random models for planted subgraph detection, a departure from traditional purely random graph models. This new framework accounts for adversaries who may remove edges outside the plante…
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New spectral sparsification methods enhance graphical model accuracy
Researchers have developed new methods, Spectral-LCGGM and Spectral-HR, to improve the accuracy and scalability of Laplacian-constrained Gaussian and Hüsler-Reiss graphical models. These models are used in areas like gr…
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New criterion for causal DAGs could improve AI discovery algorithms
Researchers have developed a new criterion for topological sorting in random causal directed acyclic graphs (DAGs). This method exploits the monotonic increase of reachable nodes (relatives) along the causal order. The …
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New method cuts QAOA circuit evaluations by 80% using graph neural networks
Researchers have developed a novel graph-conditioned trust-region method to reduce the number of objective evaluations required for the Quantum Approximate Optimization Algorithm (QAOA). This approach utilizes a graph n…
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New algorithms improve online learning with side-observation graphs
Researchers have developed new algorithms for adversarial multi-armed bandit problems where partial loss information is available. These algorithms are designed to handle scenarios where non-chosen arms reveal their los…