Daniel Kuhn

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 74

Top Venues

Publications

Andrew Rusinko III, Mohammad A. Rezaei, Lukas Friedrich, Hans-Peter Buchstaller, Daniel Kuhn, Ashwini Ghogare
AIDDISON: Empowering Drug Discovery with AI/ML and CADD Tools in a Secure, Web-Based SaaS Platform. J. Chem. Inf. Model. 64 (1) (2024)
Beatriz Soviero, Daniel Kuhn, Alexandre Salle, Viviane Pereira Moreira
ChatGPT Goes Shopping: LLMs Can Predict Relevance in eCommerce Search. ECIR (4) (2024)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. Math. Oper. Res. 48 (1) (2023)
Soroosh Shafieezadeh-Abadeh, Liviu Aolaritei, Florian Dörfler, Daniel Kuhn
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization. CoRR (2023)
Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
Efficient Learning of a Linear Dynamical System With Stability Guarantees. IEEE Trans. Autom. Control. 68 (5) (2023)
Bahar Taskesen, Dan A. Iancu, Çagil Koçyigit, Daniel Kuhn
Distributionally Robust Linear Quadratic Control. CoRR (2023)
Yves Rychener, Daniel Kuhn, Tobias Sutter
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective. ICML (2023)
Mengmeng Li, Tobias Sutter, Daniel Kuhn
Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets. CoRR (2023)
Zhi Chen, Daniel Kuhn, Wolfram Wiesemann
On approximations of data-driven chance constrained programs over Wasserstein balls. Oper. Res. Lett. 51 (3) (2023)
Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn
Semi-discrete optimal transport: hardness, regularization and numerical solution. Math. Program. 199 (1) (2023)
Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
Context-enriched molecule representations improve few-shot drug discovery. ICLR (2023)
Dirk Lauinger, François Vuille, Daniel Kuhn
Frequency Regulation with Storage: On Losses and Profits. CoRR (2023)
Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
Context-enriched molecule representations improve few-shot drug discovery. CoRR (2023)
Davide Boldini, Francesca Grisoni, Daniel Kuhn, Lukas Friedrich, Stephan A. Sieber
Practical guidelines for the use of gradient boosting for molecular property prediction. J. Cheminformatics 15 (1) (2023)
Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan
Discrete Optimal Transport with Independent Marginals is #P-Hard. SIAM J. Optim. 33 (2) (2023)
Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn
Contextual Stochastic Bilevel Optimization. CoRR (2023)
Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan
Discrete Optimal Transport with Independent Marginals is #P-Hard. CoRR (2022)
Roland Schwan, Colin N. Jones, Daniel Kuhn
Stability Verification of Neural Network Controllers using Mixed-Integer Programming. CoRR (2022)
Davide Boldini, Lukas Friedrich, Daniel Kuhn, Stephan A. Sieber
Tuning gradient boosting for imbalanced bioassay modelling with custom loss functions. J. Cheminformatics 14 (1) (2022)
Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
On linear optimization over Wasserstein balls. Math. Program. 195 (1) (2022)
Yves Rychener, Bahar Taskesen, Daniel Kuhn
Metrizing Fairness. CoRR (2022)
Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn, Wolfram Wiesemann
Scenario reduction revisited: fundamental limits and guarantees. Math. Program. 191 (1) (2022)
Çagil Koçyigit, Napat Rujeerapaiboon, Daniel Kuhn
Robust multidimensional pricing: separation without regret. Math. Program. 196 (1) (2022)
Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
Topological Linear System Identification via Moderate Deviations Theory. IEEE Control. Syst. Lett. 6 (2022)
Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator. Oper. Res. 70 (1) (2022)
Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
Efficient Learning of a Linear Dynamical System with Stability Guarantees. CoRR (2021)
Bahar Taskesen, Man-Chung Yue, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts. CoRR (2021)
Tobias Sutter, Andreas Krause, Daniel Kuhn
Robust Generalization despite Distribution Shift via Minimum Discriminating Information. NeurIPS (2021)
Christos Ordoudis, Viet Anh Nguyen, Daniel Kuhn, Pierre Pinson
Energy and reserve dispatch with distributionally robust joint chance constraints. Oper. Res. Lett. 49 (3) (2021)
Mengmeng Li, Tobias Sutter, Daniel Kuhn
Distributionally Robust Optimization with Markovian Data. ICML (2021)
Wouter Jongeneel, Daniel Kuhn
On Topological Equivalence in Linear Quadratic Optimal Control. ECC (2021)
Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution. CoRR (2021)
Bahar Taskesen, Man-Chung Yue, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts. ICML (2021)
Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn
From Data to Decisions: Distributionally Robust Optimization Is Optimal. Manag. Sci. 67 (6) (2021)
Mengmeng Li, Tobias Sutter, Daniel Kuhn
Distributionally Robust Optimization with Markovian Data. CoRR (2021)
Tobias Sutter, Andreas Krause, Daniel Kuhn
Robust Generalization despite Distribution Shift via Minimum Discriminating Information. CoRR (2021)
Bahar Taskesen, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen
A Statistical Test for Probabilistic Fairness. FAccT (2021)
Bahar Taskesen, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen
A Statistical Test for Probabilistic Fairness. CoRR (2020)
Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
On Linear Optimization over Wasserstein Balls. CoRR (2020)
Bahar Taskesen, Viet Anh Nguyen, Daniel Kuhn, Jose H. Blanchet
A Distributionally Robust Approach to Fair Classification. CoRR (2020)
Etienne de Klerk, Daniel Kuhn, Krzysztof Postek
Distributionally robust optimization with polynomial densities: theory, models and algorithms. Math. Program. 181 (2) (2020)
Christina E. M. Schindler, Hannah Baumann, Andreas Blum, Dietrich Böse, Hans-Peter Buchstaller, Lars Burgdorf, Daniel Cappel, Eugene Chekler, Paul Czodrowski, Dieter Dorsch, Merveille K. I. Eguida, Bruce Follows, Thomas Fuchß, Ulrich Grädler, Jakub Gunera, Theresa Johnson, Catherine Jorand Lebrun, Srinivasa Karra, Markus Klein, Tim Knehans, Lisa Koetzner, Mireille Krier, Matthias Leiendecker, Birgitta Leuthner, Liwei Li, Igor Mochalkin, Djordje Musil, Constantin Neagu, Friedrich Rippmann, Kai Schiemann, Robert Schulz, Thomas Steinbrecher, Eva-Maria Tanzer, Andrea Unzue Lopez, Ariele Viacava Follis, Ansgar Wegener, Daniel Kuhn
Large-Scale Assessment of Binding Free Energy Calculations in Active Drug Discovery Projects. J. Chem. Inf. Model. 60 (11) (2020)
Çagil Koçyigit, Garud Iyengar, Daniel Kuhn, Wolfram Wiesemann
Distributionally Robust Mechanism Design. Manag. Sci. 66 (1) (2020)
Angelos Georghiou, Daniel Kuhn, Wolfram Wiesemann
The decision rule approach to optimization under uncertainty: methodology and applications. Comput. Manag. Sci. 16 (4) (2019)
Erick Delage, Daniel Kuhn, Wolfram Wiesemann
"Dice"-sion-Making Under Uncertainty: When Can a Random Decision Reduce Risk? Manag. Sci. 65 (7) (2019)
Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning. CoRR (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. CoRR (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. NeurIPS (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. CoRR (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. CoRR (2019)
Ekaterina Abramova, Luke Dickens, Daniel Kuhn, Aldo Faisal
RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems. CoRR (2019)
Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn, Wolfram Wiesemann
Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization. SIAM J. Optim. 29 (2) (2019)
Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Regularization via Mass Transportation. J. Mach. Learn. Res. 20 (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. NeurIPS (2019)
Christina E. M. Schindler, Friedrich Rippmann, Daniel Kuhn
Relative binding affinity prediction of farnesoid X receptor in the D3R Grand Challenge 2 using FEP+. J. Comput. Aided Mol. Des. 32 (1) (2018)
Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros
From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. SIAM J. Optim. 28 (3) (2018)
Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Wasserstein Distributionally Robust Kalman Filtering. NeurIPS (2018)
Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann
Chebyshev Inequalities for Products of Random Variables. Math. Oper. Res. 43 (3) (2018)
Peyman Mohajerin Esfahani, Daniel Kuhn
Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations. Math. Program. 171 (1-2) (2018)
Ihsan Yanikoglu, Daniel Kuhn
Decision Rule Bounds for Two-Stage Stochastic Bilevel Programs. SIAM J. Optim. 28 (1) (2018)
Grani Adiwena Hanasusanto, Daniel Kuhn
Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls. Oper. Res. 66 (3) (2018)
Napat Rujeerapaiboon, B. Ross Barmish, Daniel Kuhn
On Risk Reduction in Kelly Betting Using the Conservative Expected Value. CDC (2018)
Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Wasserstein Distributionally Robust Kalman Filtering. CoRR (2018)
Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, Grani Adiwena Hanasusanto, Daniel Kuhn
Data-driven inverse optimization with imperfect information. Math. Program. 167 (1) (2018)
Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros
From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. CoRR (2017)
Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Regularization via Mass Transportation. CoRR (2017)
Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn
From Data to Decisions: Distributionally Robust Optimization is Optimal. CoRR (2017)
Grani Adiwena Hanasusanto, Vladimir Roitch, Daniel Kuhn, Wolfram Wiesemann
Ambiguous Joint Chance Constraints Under Mean and Dispersion Information. Oper. Res. 65 (3) (2017)
Bart P. G. Van Parys, Daniel Kuhn, Paul J. Goulart, Manfred Morari
Distributionally Robust Control of Constrained Stochastic Systems. IEEE Trans. Autom. Control. 61 (2) (2016)
Stein-Erik Fleten, Daniel Kuhn, Afzal Siddiqui
Special Issue on "Optimisation methods and applications in the energy sector". Comput. Manag. Sci. 13 (1) (2016)
Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann
Robust Growth-Optimal Portfolios. Manag. Sci. 62 (7) (2016)
Bart P. G. Van Parys, Paul J. Goulart, Daniel Kuhn
Generalized Gauss inequalities via semidefinite programming. Math. Program. 156 (1-2) (2016)
Grani Adiwena Hanasusanto, Daniel Kuhn, Wolfram Wiesemann
K-adaptability in two-stage distributionally robust binary programming. Oper. Res. Lett. 44 (1) (2016)
Grani Adiwena Hanasusanto, Daniel Kuhn, Wolfram Wiesemann
A comment on "computational complexity of stochastic programming problems". Math. Program. 159 (1-2) (2016)
Grani Adiwena Hanasusanto, Daniel Kuhn, Wolfram Wiesemann
-Adaptability in Two-Stage Robust Binary Programming. Oper. Res. 63 (4) (2015)
Grani Adiwena Hanasusanto, Daniel Kuhn, Stein W. Wallace, Steve Zymler
Distributionally robust multi-item newsvendor problems with multimodal demand distributions. Math. Program. 152 (1-2) (2015)
Giorgio Consigli, Paolo Brandimarte, Daniel Kuhn
Financial Optimization: optimization paradigms and financial planning under uncertainty. OR Spectr. 37 (3) (2015)
Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Kuhn
Distributionally Robust Logistic Regression. NIPS (2015)
Eli Gutin, Daniel Kuhn, Wolfram Wiesemann
Interdiction Games on Markovian PERT Networks. Manag. Sci. 61 (5) (2015)
Grani Adiwena Hanasusanto, Vladimir Roitch, Daniel Kuhn, Wolfram Wiesemann
A distributionally robust perspective on uncertainty quantification and chance constrained programming. Math. Program. 151 (1) (2015)
Angelos Georghiou, Wolfram Wiesemann, Daniel Kuhn
Generalized decision rule approximations for stochastic programming via liftings. Math. Program. 152 (1-2) (2015)
Wolfram Wiesemann, Daniel Kuhn, Melvyn Sim
Distributionally Robust Convex Optimization. Oper. Res. 62 (6) (2014)
Axel Kalenborn, Daniel Kuhn, Fabian Lorig
Calculating Software Projects on a Mockup based approach. REFSQ Workshops (2014)
Paula Rocha, Daniel Kuhn
A Polynomial-Time Solution Scheme for Quadratic Stochastic Programs. J. Optim. Theory Appl. 158 (2) (2013)
Grani Adiwena Hanasusanto, Daniel Kuhn
Robust Data-Driven Dynamic Programming. NIPS (2013)
Wolfram Wiesemann, Daniel Kuhn, Berç Rustem
Robust Markov Decision Processes. Math. Oper. Res. 38 (1) (2013)
Steve Zymler, Daniel Kuhn, Berç Rustem
Distributionally robust joint chance constraints with second-order moment information. Math. Program. 137 (1-2) (2013)
Simon A. Spacey, Wayne Luk, Daniel Kuhn, Paul H. J. Kelly
Parallel partitioning for distributed systems using sequential assignment. J. Parallel Distributed Comput. 73 (2) (2013)
Steve Zymler, Daniel Kuhn, Berç Rustem
Worst-Case Value at Risk of Nonlinear Portfolios. Manag. Sci. 59 (1) (2013)
Christos Gavriel, Grani Adiwena Hanasusanto, Daniel Kuhn
Risk-averse shortest path problems. CDC (2012)
Andrea Volkamer, Daniel Kuhn, Thomas Grombacher, Friedrich Rippmann, Matthias Rarey
Combining Global and Local Measures for Structure-Based Druggability Predictions. J. Chem. Inf. Model. 52 (2) (2012)
Wolfram Wiesemann, Daniel Kuhn, Berç Rustem
Robust resource allocations in temporal networks. Math. Program. 135 (1-2) (2012)
Dimitra Bampou, Daniel Kuhn
Polynomial Approximations for Continuous Linear Programs. SIAM J. Optim. 22 (2) (2012)
Wolfram Wiesemann, Daniel Kuhn, Berç Rustem
Multi-resource allocation in stochastic project scheduling. Ann. Oper. Res. 193 (1) (2012)
Simon A. Spacey, Wayne Luk, Paul H. J. Kelly, Daniel Kuhn
Improving communication latency with the write-only architecture. J. Parallel Distributed Comput. 72 (12) (2012)
Phebe Vayanos, Daniel Kuhn, Berç Rustem
A constraint sampling approach for multi-stage robust optimization. Autom. 48 (3) (2012)
Andrea Volkamer, Daniel Kuhn, Friedrich Rippmann, Matthias Rarey
DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment. Bioinform. 28 (15) (2012)
Simon A. Spacey, Wolfram Wiesemann, Daniel Kuhn, Wayne Luk
Robust Software Partitioning with Multiple Instantiation. INFORMS J. Comput. 24 (3) (2012)
Ronald Hochreiter, Daniel Kuhn
Optimal decision making under uncertainty. Comput. Manag. Sci. 9 (1) (2012)
Paula Rocha, Daniel Kuhn
Multistage stochastic portfolio optimisation in deregulated electricity markets using linear decision rules. Eur. J. Oper. Res. 216 (2) (2012)

Daniel Kuhn.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Daniel Kuhn