Stat-Ml

High-dimensional censored MIDAS logistic regression for corporate survival forecasting

Econ Em 6 JAN, 2026

High-dimensional censored MIDAS logistic regression for corporate survival forecasting

By Wei Miao

Adventures in Demand Analysis Using AI

Applications 6 JAN, 2026

Adventures in Demand Analysis Using AI

By Philipp Bach

Single-loop Algorithms for Stochastic Non-convex Optimization with Weakly-Convex Constraints

Machine Learning (Stats) 6 JAN, 2026

Single-loop Algorithms for Stochastic Non-convex Optimization with Weakly-Convex Constraints

By Ming Yang

Dataset Distillation as Pushforward Optimal Quantization

Machine Learning (Stats) 6 JAN, 2026

Dataset Distillation as Pushforward Optimal Quantization

By Hong Ye Tan

Generative modelling with jump-diffusions

Machine Learning (Stats) 6 JAN, 2026

Generative modelling with jump-diffusions

By Adrian Baule

Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching

Machine Learning (Stats) 23 JAN, 2026

Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching

By Etrit Haxholli

Continuous-time reinforcement learning: ellipticity enables model-free value function approximation

Mathematical Statistics 6 JAN, 2026

Continuous-time reinforcement learning: ellipticity enables model-free value function approximation

By Wenlong Mou