In a recently published article in the Yale Law Journal, Associate Professor of Law Daniel Francis JSD ’20 notes that ...
This is the code repository for [Paper]: "Learning Graph Representation via Graph Entropy Maximization (ICML 2024)". GeMax is an approximation method leveraging orthonormal representation for graph ...
Both Main Street Capital & Trinity Capital could underperform due to a lack of discounted valuations but should be solid in ...
Vitalik Buterin outlines vision for Sovereign Web with privacy-focused tools, criticizing corporate platforms that exploit ...
Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...
Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...
Abstract: Existing Cross-Domain Few-Shot Learning (CDFSL) methods require access to source domain data to train a model in the pre-training phase. However, due to increasing concerns about data ...
cu Tue, 01/01/1985 - 12:00 Richard A. Posner, "Wealth Maximization Revisited," 2 Notre Dame Journal of Law, Ethics and Public Policy 85 (1985). 11615974F "Wealth Maximization Revisited," 2 Notre Dame ...
This essay considers some limitations of the assumption of utility maximization (Max U) as an explanation of human action. Leading promoters of the assumption explicitly avoid the question of ...
Post-training methods for pre-trained language models (LMs) depend on human supervision through demonstrations or preference feedback to specify desired behaviors. However, this approach faces ...
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