Health
1241 storiesPublic health and medicine worldwide — sourced from WHO News.
On Sex, Evolution, and the Multiplicative Weights Update Algorithm
arXiv:1502.05056v2 Announce Type: replace Abstract: We consider a recent innovative theory by Chastain et al. on the role of sex in evolution [PNAS'14]. In short, the theory suggests that the evolutionary process of gene…
Anchoring Distributed Agency: Institutional Metaphors for Designing Large-Scale AI and AI Techniques for Running Institutions
arXiv:1803.03407v3 Announce Type: replace Abstract: Artificial Intelligence (AI) started out with the ambition to reproduce the human mind, but as soon as the sheer scale of that ambition became apparent, it retreated in…
Selling to Non-linear Agents: A Demand-Based Auction
arXiv:2003.00545v3 Announce Type: replace Abstract: Auctions allocate scarce goods, from car licenses to online advertising, to buyers whose utilities are often not linear in money, as with budgets or risk aversion. We a…
ASA: A Simulation Environment for Evaluating Military Operational Scenarios
arXiv:2207.12084v2 Announce Type: replace Abstract: The Aerospace Simulation Environment (Ambiente de Simula\c{c}\~ao Aeroespacial -- ASA in Portuguese) is a custom-made object-oriented simulation framework developed mai…
Evolutionary Deep Nets for Non-Intrusive Load Monitoring
arXiv:2303.03538v2 Announce Type: replace Abstract: Compact appliance classifiers can support local electricity-load monitoring where memory and computation are constrained. We evaluate adaptive sparse evolutionary train…
Opinion Dynamics in Social Multiplex Networks with Mono and Bi-directional Interactions in the Presence of Leaders
arXiv:2401.15857v5 Announce Type: replace Abstract: We delve into the dynamics of opinions within a multiplex network using coordination games, where agents communicate either through one-way or two-way interactions, and…
Hearing the shape of an arena with spectral swarm robotics
arXiv:2403.17147v2 Announce Type: replace Abstract: Swarm robotics relies on robots with minimal sensing and computation that achieve self-organization at the level of the collective to address a variety of tasks. Yet sw…
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
arXiv:2404.06966v2 Announce Type: replace Abstract: As with most other data domains, EEG data analysis relies on rich domain-specific preprocessing. Beyond such preprocessing, machine learners would hope to deal with suc…
Social Life Simulation for Non-Cognitive Skills Learning
arXiv:2405.00273v4 Announce Type: replace Abstract: Non-cognitive skills are crucial for personal and social life well-being, and such skill development can be supported by narrative-based (e.g., storytelling) technologi…
A Memory-Efficient Distributed Algorithm for Approximate Nearest Neighbour Search with Arbitrary Distances
arXiv:2405.13795v5 Announce Type: replace Abstract: Approximate nearest neighbour (ANN) search has become a central task in modern data-intensive applications, particularly when operating on large-scale, heterogeneous, o…
Risk-Aware Alignment Must Incorporate Reward Uncertainty
arXiv:2410.23726v2 Announce Type: replace Abstract: We consider the problem of policy optimization with noisy rewards, where the policy is constrained to be in the neighborhood of a reference policy.We study the risk of …
Neurophysiological Insights into Multimedia-based Education: A PRISMA-ScR Review of fNIRS in Game-Integrated Learning Systems
arXiv:2411.02650v5 Announce Type: replace Abstract: Game-integrated learning systems (GILS) are a growing form of multimedia education. Neurophysiological evidence can complement behavioral and learning measures when exa…
A declarative approach to specifying Paxos using three-valued modal fixpoint logic
arXiv:2502.00892v2 Announce Type: replace Abstract: We present Three-valued Fixpoint Quorum Logic, or 3muQL for short; a three-valued modal fixed-point logic designed for declaratively specifying and reasoning about dist…
The Fenchel-Young Generalization of Bayesian Principles
arXiv:2502.10295v4 Announce Type: replace Abstract: Conjugate Bayes plays a key role in machine learning, ensuring computationally simple posterior updates. We generalize the variational principle behind this computation…
Fragility-aware Classification for Risk Characterization and Robust Learning
arXiv:2502.13024v3 Announce Type: replace Abstract: Classification models play a central role in data-driven decision-making applications such as medical diagnosis, recommendation systems, and risk assessment. Traditiona…
Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms
arXiv:2502.20115v5 Announce Type: replace Abstract: Causal discovery is a difficult problem that typically relies on strong assumptions on the data-generating model, such as non-Gaussianity. In practice, many modern appl…
ACTIVA: Amortized Causal Effect Estimation via Variational Autoencoders
arXiv:2503.01290v4 Announce Type: replace Abstract: Predicting post-intervention distributions from observational data is central to many scientific and decision-making problems, but remains challenging due to causal amb…
The Mathematical Theory of Double Descent as Shrinkage, not Overfitting: Matching Bounds for Path-Regularized Multilayer Neural Networks
arXiv:2503.02129v4 Announce Type: replace Abstract: We give a nonasymptotic generalization theory for multilayer fully connected neural networks trained with path regularization, for general Lipschitz losses and without …
Analysis of On-policy Policy Gradient Methods under the Distribution Mismatch
arXiv:2503.22244v3 Announce Type: replace Abstract: Policy gradient methods are among the most successful approaches for solving challenging reinforcement learning problems. Despite their empirical success, many state-of…
Kongzi: A Historical Large Language Model with Fact Enhancement
arXiv:2504.09488v2 Announce Type: replace Abstract: Large Language Models (LLMs) can exhibit factual inaccuracies during long-chain reasoning or under misleading prompts, limiting their reliability in historical analysis…