Geometry and Stability of Supervised Learning Problems

Get full text

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

Get full text

Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

Get full text

A Hybrid Weighted Nearest Neighbour Classifier for Semi-Supervised Learning

Get full text

Scalable and Adaptive Variational Bayes Methods for Hawkes Processes

Get full text

Biological Sequence Kernels with Guaranteed Flexibility

Get full text

Unified Discrete Diffusion for Categorical Data

Get full text

Reinforcement Learning for Infinite-Dimensional Systems

Get full text

Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation

Get full text

Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints

Get full text

Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation

Get full text

Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data

Get full text

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Get full text

Efficient Methods for Non-stationary Online Learning

Get full text

Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration

Get full text

Mixtures of Gaussian Process Experts with SMC^2

Get full text

Robust Point Matching with Distance Profiles

Get full text

BoFire: Bayesian Optimization Framework Intended for Real Experiments

Get full text

Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection

Get full text

Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs

Get full text