Publications

Journal Publications

Allahkaram ShafieiVyacheslav KungurtsevJakub Marecek Trilevel and Multilevel Optimization using Monotone Operator Theory. Mathematical Method of OR, to apper.
Jakub MarecekMichal RoubalikRamen GhoshRobert N. ShortenFabian R. Wirth Predictability and fairness in load aggregation and operations of virtual power plants. Automatica, Volume 147, January 2023, 110743.
Vyacheslav KungurtsevJakub MarecekRamen GhoshRobert N. Shorten On the Ergodic Control of Ensembles in the Presence of Non-linear Filters. Automatica, Volume 152, June 2023, 110946.
Pietro FerraroJia Yuan YuRamen GhoshSyed Eqbal AlamJakub MarecekFabian WirthRobert Shorten On Unique Ergodicity of Coupled AIMD Flows. International Journal of Control, to appear.
Quan ZhouJakub MarecekRobert N. Shorten Subgroup fairness in two-sided markets. PLoS One, Volume 18(2), 2023, e0281443
Quan ZhouJakub MarecekRobert N. Shorten Fairness in Forecasting of Observations of Linear Dynamical Systems. Journal of AI Research, Vol. 76 (2023).

Conference Publications

Svetoslav NizhnichenkovRahul NairBrian Mac NameeElizabeth Daly Explaining knock-on effects of bias mitigation
Erik MiehlingRahul NairElizabeth DalyKarthikeyan Natesan RamamurthyRobert Redmond Cookie Consent Has Disparate Impact on Estimation Accuracy
Loukas KavourasKonstantinos TsopelasGiorgos GiannopoulosDimitris SacharidisEleni PsaroudakiNikolaos TheologitisDimitrios RontogiannisDimitris FotakisIoannis Emiris Fairness Aware Counterfactuals for Subgroups
Loukas KavourasKonstantinos TsopelasGiorgos GiannopoulosDimitris SacharidisEleni PsaroudakiNikolaos TheologitisDimitrios RontogiannisDimitris FotakisIoannis Emiris Fairness Aware Counterfactuals for Subgroups
Dimitris SacharidisGiorgos GiannopoulosGeorge PapastefanatosKostas Stefanidis Auditing for Spatial Fairness
Johannes AspmanGilles BareillesVyacheslav KungurtsevJakub Marecek Hybrid Methods in Polynomial Optimisation
Swagatam HaldarDiptikalyan SahaDennis WeiRahul NairElizabeth M. Daly Interpretable Differencing of Machine Learning Models
Rahul Nair Co-creating a globally interpretable model with human input

Informal Publications

Johannes AspmanGeorgios KorpasJakub Marecek Taming Binarized Neural Networks and Mixed-Integer Programs
Quan ZhouJakub Marecek Group-blind optimal transport to group parity and its constrained variants
Francisco FacchineiVyacheslav Kungurtsev Stochastic Approximation for Expectation Objective and Expectation Inequality-Constrained Nonconvex Optimization
Fabio V. DifonzoVyacheslav KungurtsevJakub Marecek Stochastic Langevin Differential Inclusions with Applications to Machine Learning
Quan ZhouRamen GhoshRobert ShortenJakub Marecek Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions
Sarah Boufelja Y.Anthony QuinnMartin CorlessRobert Shorten Fully Probabilistic Design for Optimal Transport.
Johannes AspmanVyacheslav KungurtsevReza Roohi Seraji Riemannian Stochastic Approximation for Minimizing Tame Nonsmooth Objective Functions
Songqiang QiuVyacheslav Kungurtsev A Sequential Quadratic Programming Method for Optimization with Stochastic Objective Functions, Deterministic Inequality Constraints and Robust Subproblems
Jiri NemecekTomas PevnyJakub Marecek Improving the Validity of Decision Trees as Explanations.
Allahkaram ShafieiVyacheslav KungurtsevJakub Marecek Time-Varying Multi-Objective Optimization: Tradeoff Regret Bounds.

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