arXiv:2412.02484v2 Announce Type: replace-cross Abstract: We study black-box vector optimization with Gaussian process bandits, where there is an incomplete order relation on objective vectors described by a polyhedral convex cone. Existing black-box vector optimization approaches either suffer from high sample complexity or lack theoretical guarantees. We propose Vector Optimization with Gaussian Process (VOGP), an adaptive elimination algorithm that identifies Pareto optimal solutions sample efficiently by exploiting the smoothness of the objective function. We establish theoretical guarantees, deriving information […]

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In this quiz, you’ll test your understanding of How to Indent in Python. By working through this quiz, you’ll revisit how to properly indent Python code, choose helpful editor settings, use spaces properly, apply code formatters, and explain why indentation is required. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]

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arXiv:2604.04952v1 Announce Type: new Abstract: Ransomware and DDoS attacks disproportionately impact hospitals, schools, and small organizations that cannot afford enterprise security solutions. We present ML Defender (aRGus NDR), an open-source network intrusion detection system built in C++20, deployable on commodity hardware at approximately 150-200 USD. ML Defender implements a six-component pipeline over eBPF/XDP packet capture, ZeroMQ transport, and Protocol Buffers serialization, combining a rule-based Fast Detector with an embedded Random Forest classifier. The Maximum Threat Wins policy selects […]

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arXiv:2602.18527v1 Announce Type: new Abstract: Current audio-visual large language models (AV-LLMs) are predominantly restricted to 2D perception, relying on RGB video and monaural audio. This design choice introduces a fundamental dimensionality mismatch that precludes reliable source localization and spatial reasoning in complex 3D environments. We address this limitation by presenting JAEGER, a framework that extends AV-LLMs to 3D space, to enable joint spatial grounding and reasoning through the integration of RGB-D observations and multi-channel first-order ambisonics. A core […]

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arXiv:2604.02337v1 Announce Type: new Abstract: Counterfactual simulation – exploring hypothetical consequences under alternative clinical scenarios – holds promise for transformative applications such as personalized medicine and in silico trials. However, it remains challenging due to methodological limitations. Here, we show that an autoregressive generative model trained on real-world data from over 300,000 patients and 400 million patient timeline entries can generate clinically plausible counterfactual trajectories. As a validation task, we applied the model to patients hospitalized with COVID-19 […]

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arXiv:2604.11253v1 Announce Type: new Abstract: Feature importance methods using unrestricted permutations are flawed due to extrapolation errors; such errors appear in all non-trivial variable importance approaches. We propose three new approaches: conditional model reliance and Knockoffs with Gaussian transformation, and restricted ALE plot designs. Theoretical and numerical results show our strategies reduce/eliminate extrapolation.

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Learn Python control flow and loops. Use conditional statements, Boolean operators, for and while loops, and keywords like break and continue. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]

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arXiv:2602.07206v1 Announce Type: new Abstract: Softmax Loss (SL) is being increasingly adopted for recommender systems (RS) as it has demonstrated better performance, robustness and fairness. Yet in implicit-feedback, a single global temperature and equal treatment of uniformly sampled negatives can lead to brittle training, because sampled sets may contain varying degrees of relevant or informative competitors. The optimal loss sharpness for a user-item pair with a particular set of negatives, can be suboptimal or destabilising for another with […]

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This paper presents a theoretical framework aimed at examining the Riemann Hypothesis (RH) through the lens of a differential interaction operator Φ(s,δ) acting on the Hilbert space l2(N). By mapping the Dirichlet η-function to a trace-class operator, we analyze the resulting phase torque J(δ,t), which is governed by a hyperbolic sine bias. We propose a product criterion wherein the operator trace vanishes if and only if a zero exists at mirrored coordinates across the critical line. Furthermore, we […]

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arXiv:2603.24689v1 Announce Type: new Abstract: In this paper, we construct a special family of cyclic codes, known as quadratic residue codes of prime length ( p equiv pm 1 pmod{44} ,) ( p equiv pm 5 pmod{44} ,) ( p equiv pm 7 pmod{44} ,) ( p equiv pm 9 pmod{44} ) and ( p equiv pm 19 pmod{44} ) over $mathbb{Z}_{121}$ by defining them using their generating idempotents. Furthermore, the properties of these codes and extended quadratic […]

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