2 citations · 5 across the 13 of their papers we have counts for
5 papers · 1 filter
LinearPFN: Amortized Variable Selection for Linear Models with Interactions
Louis Schiekiera, Max Zimmer, Christophe Roux +3
Spike-and-slab regression is a standard Bayesian formulation of variable selection: it returns a posterior distribution over which candidate effects are active rather than a single…
Curvature-Dependent Lower Bounds for Frank-Wolfe
Jannis Halbey, Christophe Roux, Sebastian Pokutta
The Frank-Wolfe algorithm achieves a convergence rate of for smooth convex optimization over compact convex domains, accelerating to when bo…
The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning
Max Zimmer, Nico Pelleriti, Christophe Roux +1
AI tools and agents are reshaping how researchers work, from proving theorems to training neural networks. Yet for many, it remains unclear how these tools fit into everyday resear…
From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs
Louis Schiekiera, Max Zimmer, Christophe Roux +2
We investigate the extent to which an LLM's hidden-state geometry can be recovered from its behavior in psycholinguistic experiments. Across eight instruction-tuned transformer mod…
Lower Bounds for Frank-Wolfe on Strongly Convex Sets
Jannis Halbey, Daniel Deza, Max Zimmer +3
We present a constructive lower bound of for Frank-Wolfe (FW) when both the objective and the constraint set are smooth and strongly convex, showing that…