Multi-source transfer learning incurs an intrinsic adaptation cost that can exceed one, with phase transitions separating regimes where bias-agnostic estimators match oracle performance from those where they cannot.
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13 Pith papers cite this work. Polarity classification is still indexing.
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Proposes a scale-calibrated median-of-means estimator for robust aggregation of distributed PCA estimates on the product of Euclidean space and Grassmann manifold.
A large deviations principle is established for rogue waves in the cubic nonlinear Schrödinger equation with randomized quasi-periodic initial data in dimensions d>1, holding for times O(ε^{-1-η}) under polynomial Fourier decay.
The paper introduces a noise-state recursive representation for finite-player dynamic games with dispersed private information, yielding explicit equilibrium characterizations in continuous-time LQG settings.
Proves Poisson property for transformed excursion point processes under state-dependent inverse-subordinator time changes of regenerative processes and derives multiscale joint occupation-time limit theorems including generalized arcsine and Darling-Kac laws under regular variation.
Unified framework for complex zero-sum games with chance constraints that converts probabilistic constraints into convex second-order cone programs under various distribution assumptions.
Prevent-Jack fuses six local behaviors into a context steering framework for swarms of heavy articulated vehicles, delivering collision and jackknifing avoidance at the expense of deadlocks and livelocks observed in 15,000 simulations.
Derives exact distributions for two-step restricted-angle 2D random walks, numerical solutions for general steps, large-step approximations, and exact support characterization.
First evidence for non-zero φ_s in B_s^0 → J/ψ φ decays at 3.2σ from CMS 13 TeV data combined with prior 8 TeV result.
Diffusion models via DDPM work for anomaly detection but are slow; the proposed DTE method estimates diffusion time distribution analytically and with a neural net to deliver faster inference while outperforming DDPM on ADBench for unsupervised and semi-supervised settings.
A novel MPI-based construction method for spiking neural networks on multi-GPU clusters is introduced, with scaling demonstrated on two cortical models using point-to-point and collective communication.
Thermodynamics emerges as the complete-similarity limit of statistical mechanics when the small-system group Π_B = k_B/(c ℓ³) becomes irrelevant at macroscopic scales.
A review summarizing definitions, canonical forms, exact and approximate distributions, numerical methods, applications, and open problems for quadratic forms in real and complex Gaussian variables, including multiforms and ratios.
citing papers explorer
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The Statistical Cost of Adaptation in Multi-Source Transfer Learning
Multi-source transfer learning incurs an intrinsic adaptation cost that can exceed one, with phase transitions separating regimes where bias-agnostic estimators match oracle performance from those where they cannot.
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Scale-Calibrated Median-of-Means for Robust Distributed Principal Component Analysis
Proposes a scale-calibrated median-of-means estimator for robust aggregation of distributed PCA estimates on the product of Euclidean space and Grassmann manifold.
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Large Deviations for the Nonlinear Schrodinger Equation with Randomized Quasi-Periodic Initial Data in Higher Dimensions: Beyond the Critical Time Scale
A large deviations principle is established for rogue waves in the cubic nonlinear Schrödinger equation with randomized quasi-periodic initial data in dimensions d>1, holding for times O(ε^{-1-η}) under polynomial Fourier decay.
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Forecasting and Manipulating the Forecasts of Others
The paper introduces a noise-state recursive representation for finite-player dynamic games with dispersed private information, yielding explicit equilibrium characterizations in continuous-time LQG settings.
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State-dependent inverse-subordinator time changes of regenerative processes: Excursion structure and multiscale occupation-time limits
Proves Poisson property for transformed excursion point processes under state-dependent inverse-subordinator time changes of regenerative processes and derives multiscale joint occupation-time limit theorems including generalized arcsine and Darling-Kac laws under regular variation.
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Robust Chance Constrained Complex Zero-Sum Games
Unified framework for complex zero-sum games with chance constraints that converts probabilistic constraints into convex second-order cone programs under various distribution assumptions.
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PREVENT-JACK: Context Steering for Swarms of Long Heavy Articulated Vehicles
Prevent-Jack fuses six local behaviors into a context steering framework for swarms of heavy articulated vehicles, delivering collision and jackknifing avoidance at the expense of deadlocks and livelocks observed in 15,000 simulations.
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On the Distribution of a Two-Dimensional Random Walk with Restricted Angles
Derives exact distributions for two-step restricted-angle 2D random walks, numerical solutions for general steps, large-step approximations, and exact support characterization.
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First evidence for mixing-induced $CP$ violation in B$^0_\mathrm{s}$ $\to$ J/$\psi\,\phi$(1020) decays in pp collisions at $\sqrt{s} = $ 13 TeV
First evidence for non-zero φ_s in B_s^0 → J/ψ φ decays at 3.2σ from CMS 13 TeV data combined with prior 8 TeV result.
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On Diffusion Modeling for Anomaly Detection
Diffusion models via DDPM work for anomaly detection but are slow; the proposed DTE method estimates diffusion time distribution analytically and with a neural net to deliver faster inference while outperforming DDPM on ADBench for unsupervised and semi-supervised settings.
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Scalable Construction of Spiking Neural Networks using up to thousands of GPUs
A novel MPI-based construction method for spiking neural networks on multi-GPU clusters is introduced, with scaling demonstrated on two cortical models using point-to-point and collective communication.
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Small-System Group: Thermodynamics as a Complete Self-Similarity Limit
Thermodynamics emerges as the complete-similarity limit of statistical mechanics when the small-system group Π_B = k_B/(c ℓ³) becomes irrelevant at macroscopic scales.
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Quadratic Forms in Gaussian Random Variables Theoretical Results and Applications
A review summarizing definitions, canonical forms, exact and approximate distributions, numerical methods, applications, and open problems for quadratic forms in real and complex Gaussian variables, including multiforms and ratios.