Dynamic Valuation of Delinquent Credit Card Accounts

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Compilers assure that any produced optimized code is semantically equivalent to the original code. However, even "correct" compilers may introduce security bugs as security properties go beyond translation correctness. Security bugs introduced by such corr ...

This paper presents a theoretical analysis of linear interpolation as a principled method for stabilizing (large-scale) neural network training. We argue that instabilities in the optimization process are often caused by the nonmonotonicity of the loss lan ...

A kernel method for estimating a probability density function from an independent and identically distributed sample drawn from such density is presented. Our estimator is a linear combination of kernel functions, the coefficients of which are determined b ...

Outliers in discrete choice response data may result from misclassification and misreporting of the response variable and from choice behaviour that is inconsistent with modelling assumptions (e.g. random utility maximisation). In the presence of outliers, ...

In Process Systems Engineering, computationally-demanding models are frequent and plentiful. Handling such complexity in an optimization framework in a fast and reliable way is essential, not only for generating meaningful solutions but also for providing ...

Learning-based outlier (mismatched correspondence) rejection for robust 3D registration generally formulates the outlier removal as an inlier/outlier classification problem. The core for this to be successful is to learn the discriminative inlier/outlier f ...

Car sharing systems (CSSs) are one of the environmentally beneficial solutions in urban transportation. However, the operators still struggle to make these systems profitable. One of the main contributors in operational cost is rebalancing operations. Ther ...

In data-parallel optimization of machine learning models, workers collaborate to improve their estimates of the model: more accurate gradients allow them to use larger learning rates and optimize faster. In the decentralized setting, in which workers commu ...

Advances in computing have enabled widespread access to pose estimation, creating new sources of data streams. Unlike mock set-ups for data collection, tapping into these data streams through on-device active learning allows us to directly sample from the ...

Many scientific systems are studied using computer codes that simulate the phenomena of interest. Computer simulation enables scientists to study a broad range of possible conditions, generating large quantities of data at a faster rate than the laboratory ...

Dynamic Valuation of Delinquent Credit Card Accounts

Chattez avec Graph Search

Silent Bugs Matter: A Study of Compiler-Introduced Security Bugs

Stable Nonconvex-Nonconcave Training via Linear Interpolation

Density estimation in RKHS with application to Korobov spaces in high dimensions

Robust discrete choice models with t-distributed kernel errors

A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering

Robust Outlier Rejection for 3D Registration with Variational Bayes

A general framework to evaluate different rebalancing operations strategies in one-way car sharing systems

Beyond Spectral Gap: The Role of the Topology in Decentralized Learning

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells