activity
20182021
most citedCausal Inference Theory with Information Dependency Models

3 citations · 5 across the 5 of their papers we have counts for

collaborators

6 papers

cs.GT20211 cited

A heuristic for estimating Nash equilibria in first-price auctions with correlated values

Benjamin Heymann, Panayotis Mertikopoulos

Our paper concerns the computation of Nash equilibria of first-price auctions with correlated values. While there exist several equilibrium computation methods for auctions with in…

cs.DM20213 cited

Causal Inference Theory with Information Dependency Models

Benjamin Heymann, Michel de Lara, Jean-Philippe Chancelier

Inferring the potential consequences of an unobserved event is a fundamental scientific question. To this end, Pearl's celebrated do-calculus provides a set of inference rules to d…

cs.DM20211 cited

Topological Conditional Separation

Michel de Lara, Jean-Philippe Chancelier, Benjamin Heymann

Pearl's d-separation is a foundational notion to study conditional independence between random variables. We define the topological conditional separation and we show that it is eq…

math.OC2020

Kuhn's Equivalence Theorem for Games in Intrinsic Form

Benjamin Heymann, Michel de Lara, Jean-Philippe Chancelier

We state and prove Kuhn's equivalence theorem for a new representation of games, the intrinsic form. First, we introduce games in intrinsic form where information is represented by…

econ.TH2019

Optimal auctions for networked markets with externalities

Benjamin Heymann, Alejandro Jofré

Motivated by the problem of market power in electricity markets, we introduced in previous works a mechanism for simplified markets of two agents with linear cost. In standard proc…

cs.GT2018

Cost Per Action Constrained Auctions

Benjamin Heymann

A standard result from auction theory is that bidding truthfully in a second price auction is a weakly dominant strategy. The result, however, does not apply in the presence of Cos…