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stat.ML2025
Survival of the fittest Cox model: Pivotal variable selection for time-to-event data
Maxime van Cutsem, Sylvain Sardy
We revisit Cox's proportional hazards model to improve variable selection in survival analysis. A square-root transformation of the partial likelihood renders the selection of the…
stat.ML2024
Validation-Free Sparse Learning: A Phase Transition Approach to Feature Selection
Sylvain Sardy, Maxime van Cutsem, Xiaoyu Ma
The growing environmental footprint of artificial intelligence (AI), especially in terms of storage and computation, calls for more frugal and interpretable models. Sparse models (…