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Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting 模型 (Model)s
Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models
👁 97 📚 20
The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation 学习 (...
The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Lear...
👁 152 📚 14
Integrable Elasticity via Neural Demand Potentials
👁 87 📚 0
Neural Negative Binomial 回归 (Regression) for Weekly Seismicity Forecasting: Per-Cell Dispersion 估计 (...
Neural Negative Binomial Regression for Weekly Seismicity Forecasting: Per-Cell Dispersion Estimatio...
👁 145 📚 21
Quantifying Hyperparameter Transfer and the Importance of Embedding Layer 学习 (Learning) Rate
Quantifying Hyperparameter Transfer and the Importance of Embedding Layer Learning Rate
👁 67 📚 21
Goal-Oriented Lower-Tail Calibration of Gaussian Processes for 贝叶斯 (Bayesian) 优化 (Optimization)
Goal-Oriented Lower-Tail Calibration of Gaussian Processes for Bayesian Optimization
👁 121 📚 29
Multi-axis 分析 (Analysis) of Image Manipulation Localization
Multi-axis Analysis of Image Manipulation Localization
👁 177 📚 2
A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability
👁 156 📚 20
FRESH: Information-Geometric Calibration of Patient-Level 模型 (Model)s to Aggregate Evidence
FRESH: Information-Geometric Calibration of Patient-Level Models to Aggregate Evidence
👁 87 📚 8
Dynamics-Level Watermarking of Flow Matching 模型 (Model)s with Random Codes
Dynamics-Level Watermarking of Flow Matching Models with Random Codes
👁 47 📚 17
Logging Policy Design for Off-Policy Evaluation
👁 109 📚 13
RoSHAP: A Distributional Framework and Robust Metric for Stable Feature Attribution
👁 38 📚 8
Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimod...
👁 43 📚 8
FutureSim: Replaying World Events to Evaluate Adaptive Agents
👁 67 📚 13
Tight Sample Complexity Bounds for Entropic Best Policy Identification
👁 34 📚 16
A proximal gradient algorithm for composite log-concave sampling
👁 45 📚 12
Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation
👁 114 📚 28
Revisiting Policy Gradients for Restricted Policy Classes: Escaping Myopic Local Optima with $k$-ste...
👁 58 📚 1
Variational 推断 (Inference) for Lévy Process-Driven SDEs via Neural Tilting
Variational Inference for Lévy Process-Driven SDEs via Neural Tilting
👁 142 📚 13
Empirical Bayes Rebiasing
👁 142 📚 28
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