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20182026
most citedLog-sum-exp neural networks and posynomial models for convex and log-log-convex data

65 citations · 169 across the 14 of their papers we have counts for

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Showing 2022Show all

3 papers · 1 filter

math.OC2022★ 1 cited

On the convex formulations of robust Markov decision processes

Julien Grand-Clément, Marek Petrik

Robust Markov decision processes (MDPs) are used for applications of dynamic optimization in uncertain environments and have been studied extensively. Many of the main properties a…

cs.HC2022★ 12 cited

The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations

Julien Grand-Clément, Jean Pauphilet

Many high-stake decisions follow an expert-in-loop structure in that a human operator receives recommendations from an algorithm but is the ultimate decision maker. Hence, the algo…

math.OC2022

Solving optimization problems with Blackwell approachability

Julien Grand-Clément, Christian Kroer

We introduce the Conic Blackwell Algorithm (CBA) regret minimizer, a new parameter- and scale-free regret minimizer for general convex sets. CBA is based on Blackwell a…