Daniel Kuhn

发表

A Stochastic Programming Approach for QoS-Aware Service Composition

Daniel Kuhn, Ronald Hochreiter, Wolfram Wiesemann, 2008, 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGRID).

Robust Software Partitioning with Multiple Instantiation

Daniel Kuhn, Wayne Luk, Wolfram Wiesemann, 2012, INFORMS J. Comput..

A cutting-plane method for Mixed-Logical Semidefinite Programs with an application to multi-vehicle robust path planning

Daniel Kuhn, Berç Rustem, Fook Wai Kong, 2010, 49th IEEE Conference on Decision and Control (CDC).

Risk-averse shortest path problems

Daniel Kuhn, Christos Gavriel, Grani Adiwena Hanasusanto, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization

Napat Rujeerapaiboon, Daniel Kuhn, Kilian Schindler, 2017, SIAM J. Optim..

Robust Data-Driven Dynamic Programming

Daniel Kuhn, Grani Adiwena Hanasusanto, D. Kuhn, 2013, NIPS.

Chebyshev Inequalities for Products of Random Variables

Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann, 2016, Math. Oper. Res..

Data-driven inverse optimization with imperfect information

Daniel Kuhn, Grani Adiwena Hanasusanto, Peyman Mohajerin Esfahani, 2015, Mathematical Programming.

COMISEF WORKING PAPERS SERIES

Daniel Kuhn, Berç Rustem, Wolfram Wiesemann, 2010 .

Parallel partitioning for distributed systems using sequential assignment

Daniel Kuhn, Wayne Luk, Paul H. J. Kelly, 2013, J. Parallel Distributed Comput..

A scenario approach for estimating the suboptimality of linear decision rules in two-stage robust optimization

Daniel Kuhn, Paul J. Goulart, Michael J. Hadjiyiannis, 2011, IEEE Conference on Decision and Control and European Control Conference.

A Polynomial-Time Solution Scheme for Quadratic Stochastic Programs

Daniel Kuhn, Paula Rocha, D. Kuhn, 2013, Journal of Optimization Theory and Applications.

From Data to Decisions: Distributionally Robust Optimization is Optimal pdf

Daniel Kuhn, Bart P. G. Van Parys, Peyman Mohajerin Esfahani, 2017, Manag. Sci..

Eyke Hüllermeier, Daniel Kuhn, Gerhard Klebe, 2004, Bioinform..

Multi-resource allocation in stochastic project scheduling

Daniel Kuhn, Berç Rustem, Wolfram Wiesemann, 2012, Ann. Oper. Res..

Distributionally Robust Convex Optimization

Daniel Kuhn, Wolfram Wiesemann, Melvyn Sim, 2014, Oper. Res..

An Efficient Method to Estimate the Suboptimality of Affine Controllers

Daniel Kuhn, Paul J. Goulart, Michael J. Hadjiyiannis, 2011, IEEE Transactions on Automatic Control.

Calculating Software Projects on a Mockup based approach

Daniel Kuhn, Fabian Lorig, Axel Kalenborn, 2014, REFSQ Workshops.

Primal and dual linear decision rules in stochastic and robust optimization

Daniel Kuhn, Wolfram Wiesemann, Angelos Georghiou, 2011, Math. Program..

Development of an easy teaching and simulation solution for an autonomous mobile robot system

Daniel Kuhn, Vera Hummel, Vinu Vijayakumaran Nair, 2019 .

Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations

Daniel Kuhn, Peyman Mohajerin Esfahani, D. Kuhn, 2015, Mathematical Programming.

An Information-Based Approximation Scheme for Stochastic Optimization Problems in Continuous Time

Daniel Kuhn, D. Kuhn, 2009, Math. Oper. Res..

Distributionally robust optimization with polynomial densities: theory, models and algorithms

Daniel Kuhn, Etienne de Klerk, Krzysztof Postek, 2018, Mathematical Programming.

Predicting enzymatic function from global binding site descriptors

Daniel Kuhn, Matthias Rarey, Friedrich Rippmann, 2013, Proteins.

Decision rules for information discovery in multi-stage stochastic programming

Daniel Kuhn, Berç Rustem, Phebe Vayanos, 2011, IEEE Conference on Decision and Control and European Control Conference.

Ambiguous Joint Chance Constraints Under Mean and Dispersion Information

Daniel Kuhn, Wolfram Wiesemann, Grani Adiwena Hanasusanto, 2017, Oper. Res..

DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment

Daniel Kuhn, Matthias Rarey, Friedrich Rippmann, 2012, Bioinform..

Rapid Design Space visualisation through hardware/software partitioning

Daniel Kuhn, Wayne Luk, Simon A. Spacey, 2009, 2009 5th Southern Conference on Programmable Logic (SPL).

Multiple Graph Alignment for the Structural Analysis of Protein Active Sites

Eyke Hüllermeier, Daniel Kuhn, Gerhard Klebe, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

D2.3 - ICT4EE - Impact Assessment Model

Daniel Kuhn, Antonio Feraco, Charlie Sheridan Intel, 2011 .

Optimal decision making under uncertainty

Daniel Kuhn, Ronald Hochreiter, 2012, Comput. Manag. Sci..

Maximizing the net present value of a project under uncertainty

Daniel Kuhn, Berç Rustem, Wolfram Wiesemann, 2010, Eur. J. Oper. Res..

Option Pricing with Linear Programming

Napat Rujeerapaiboon, Daniel Kuhn, Panos Parpas, 2012 .

Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls

Daniel Kuhn, Grani Adiwena Hanasusanto, D. Kuhn, 2016, Oper. Res..

Generalized Gauss inequalities via semidefinite programming

Daniel Kuhn, Bart P. G. Van Parys, Paul J. Goulart, 2015, Mathematical Programming.

RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems pdf

Daniel Kuhn, Luke Dickens, Aldo Faisal, 2019, ArXiv.

Combining Global and Local Measures for Structure-Based Druggability Predictions

Daniel Kuhn, Matthias Rarey, Friedrich Rippmann, 2012, J. Chem. Inf. Model..

Relative binding affinity prediction of farnesoid X receptor in the D3R Grand Challenge 2 using FEP+

Daniel Kuhn, Friedrich Rippmann, Christina Schindler, 2017, Journal of Computer-Aided Molecular Design.

Combining Markov Decision Processes with Linear Optimal Controllers

Daniel Kuhn, Aldo Faisal, Ekaterina Abramova, 2011, ICCSW.

Distributionally Robust Control of Constrained Stochastic Systems

Daniel Kuhn, Manfred Morari, Bart P. G. Van Parys, 2016, IEEE Transactions on Automatic Control.

A distributionally robust perspective on uncertainty quantification and chance constrained programming

Daniel Kuhn, Wolfram Wiesemann, Grani Adiwena Hanasusanto, 2015, Mathematical Programming.

Decision Rule Bounds for Two-Stage Stochastic Bilevel Programs

Daniel Kuhn, Ihsan Yanikoglu, D. Kuhn, 2018, SIAM J. Optim..

Aggregation and discretization in multistage stochastic programming

Daniel Kuhn, D. Kuhn, 2008, Math. Program..

Multistage stochastic portfolio optimisation in deregulated electricity markets using linear decision rules

Daniel Kuhn, Paula Rocha, D. Kuhn, 2012, Eur. J. Oper. Res..

From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming pdf

Daniel Kuhn, John Lygeros, Tobias Sutter, 2018, SIAM J. Optim..

Systems biotechnology – Rational whole‐cell biocatalyst and bioprocess design

Daniel Kuhn, Andreas Schmid, Lars M. Blank, 2010 .

Distributionally robust multi-item newsvendor problems with multimodal demand distributions

Daniel Kuhn, Grani Adiwena Hanasusanto, Stein W. Wallace, 2014, Mathematical Programming.

A Transputer-Based Visually-Guided Robot System Using Neuro-Control

Daniel Kuhn, Hubert Kihl, Jean-Philippe Urban, 1994, HPCN.

BIT@EPI.HYDRO: A Software Tool for the Optimization of Hydro Power Plants

Daniel Kuhn, Gido Haarbrücker, Lea Bloechlinger, 2007 .

Worst-Case Value at Risk of Nonlinear Portfolios

Daniel Kuhn, Berç Rustem, Steve Zymler, 2013, Manag. Sci..

K-Adaptability in Two-Stage Robust Binary Programming

Daniel Kuhn, Wolfram Wiesemann, Grani Adiwena Hanasusanto, 2015, Oper. Res..

Financial Optimization: optimization paradigms and financial planning under uncertainty

Daniel Kuhn, Giorgio Consigli, Paolo Brandimarte, 2015, OR Spectr..

Energy and reserve dispatch with distributionally robust joint chance constraints

Daniel Kuhn, Pierre Pinson, Viet Anh Nguyen, 2021, Oper. Res. Lett..

Scenario-free stochastic programming with polynomial decision rules

Daniel Kuhn, Dimitra Bampou, D. Kuhn, 2011, IEEE Conference on Decision and Control and European Control Conference.

Robust portfolio optimization with derivative insurance guarantees

Daniel Kuhn, Berç Rustem, Steve Zymler, 2011, Eur. J. Oper. Res..

Graph Alignment: Fuzzy Pattern Mining for the Structural Analysis of Protein Active Sites

Eyke Hüllermeier, Daniel Kuhn, Gerhard Klebe, 2007, 2007 IEEE International Fuzzy Systems Conference.

Generalized decision rule approximations for stochastic programming via liftings

Daniel Kuhn, Wolfram Wiesemann, Angelos Georghiou, 2014, Mathematical Programming.

"Dice"-sion-Making Under Uncertainty: When Can a Random Decision Reduce Risk?

Daniel Kuhn, Wolfram Wiesemann, Erick Delage, 2016, Manag. Sci..

K-adaptability in two-stage distributionally robust binary programming

Daniel Kuhn, Wolfram Wiesemann, Grani Adiwena Hanasusanto, 2015, Oper. Res. Lett..

Graph Alignments: A New Concept to Detect Conserved Regions in Protein Active Sites

Eyke Hüllermeier, Daniel Kuhn, Gerhard Klebe, 2004, German Conference on Bioinformatics.

An efficient method to estimate the suboptimality of affine controllers

Daniel Kuhn, Paul J. Goulart, Michael J. Hadjiyiannis, 2013 .

Get the facts about genetic testing.

Daniel Kuhn, 2003, Journal of gerontological nursing.

A constraint sampling approach for multi-stage robust optimization

Daniel Kuhn, Berç Rustem, Phebe Vayanos, 2012, Autom..

Robust Growth-Optimal Portfolios

Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann, 2016, Manag. Sci..

Guest Editorial: Special Issue on Computational Finance

Daniel Kuhn, 2011 .

Dynamic interdiction games on PERT networks

Daniel Kuhn, Wolfram Wiesemann, D. Kuhn, 2012 .

Scenario-Free Stochastic Programming

Daniel Kuhn, Wolfram Wiesemann, Angelos Georghiou, 2010 .

Robust Markov Decision Processes

Daniel Kuhn, Berç Rustem, Wolfram Wiesemann, 2013, Math. Oper. Res..

Eyke Hüllermeier, Daniel Kuhn, Gerhard Klebe, 2003, German Conference on Bioinformatics.

A comment on “computational complexity of stochastic programming problems”

Daniel Kuhn, Wolfram Wiesemann, Grani Adiwena Hanasusanto, 2016, Math. Program..

Improving communication latency with the write-only architecture

Daniel Kuhn, Wayne Luk, Paul H. J. Kelly, 2012, J. Parallel Distributed Comput..

Distributionally Robust Logistic Regression

Daniel Kuhn, Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, 2015, NIPS.

Distributionally robust joint chance constraints with second-order moment information

Daniel Kuhn, Berç Rustem, Steve Zymler, 2011, Mathematical Programming.

Polynomial Approximations for Continuous Linear Programs

Daniel Kuhn, Dimitra Bampou, D. Kuhn, 2012, SIAM J. Optim..

Robust resource allocations in temporal networks

Daniel Kuhn, Berç Rustem, Wolfram Wiesemann, 2012, Math. Program..

Bound-based decision rules in multistage stochastic programming

Daniel Kuhn, Berç Rustem, Panos Parpas, 2008, Kybernetika.

Valuation of electricity swing options by multistage stochastic programming

Daniel Kuhn, Gido Haarbrücker, D. Kuhn, 2009, Autom..

Interdiction Games on Markovian PERT Networks

Daniel Kuhn, Wolfram Wiesemann, Eli Gutin, 2015, Manag. Sci..

SQPR: Stream query planning with reuse

Daniel Kuhn, Wolfram Wiesemann, Peter R. Pietzuch, 2011, 2011 IEEE 27th International Conference on Data Engineering.

Robust Generalization despite Distribution Shift via Minimum Discriminating Information pdf

Daniel Kuhn, Andreas Krause, Tobias Sutter, 2021, NeurIPS.

Mathematical Foundations of Robust and Distributionally Robust Optimization

Daniel Kuhn, Wolfram Wiesemann, Jianzhe Zhen, 2021 .

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, 2018, Oper. Res..

On Topological Equivalence in Linear Quadratic Optimal Control

Daniel Kuhn, Wouter Jongeneel, D. Kuhn, 2021, 2021 European Control Conference (ECC).

Mean-Covariance Robust Risk Measurement

Daniel Kuhn, Viet Anh Nguyen, Soroosh Shafieezadeh Abadeh, 2021, SSRN Electronic Journal.

Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization pdf

Daniel Kuhn, Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, 2019, Math. Oper. Res..

A Planner-Trader Decomposition for Multi-Market Hydro Scheduling

Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann, 2021 .

Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts

Daniel Kuhn, Bahar Taskesen, Jose Blanchet, 2021, ICML.

Robust multidimensional pricing: separation without regret

Napat Rujeerapaiboon, Daniel Kuhn, Çağıl Koçyiğit, 2021 .

Distributionally Robust Optimization with Markovian Data pdf

Daniel Kuhn, Tobias Sutter, Mengmeng Li, 2021, ICML.

Small Errors in Random Zeroth Order Optimization are Imaginary

Daniel Kuhn, Man-Chung Yue, Wouter Jongeneel, 2021 .

Topological Linear System Identification via Moderate Deviations Theory

Daniel Kuhn, Tobias Sutter, Wouter Jongeneel, 2022, IEEE Control Systems Letters.

Efficient Learning of a Linear Dynamical System with Stability Guarantees pdf

Daniel Kuhn, Tobias Sutter, Wouter Jongeneel, 2021, ArXiv.

Hedging Electricity Swing Options in Incomplete Markets

Daniel Kuhn, Wolfram Wiesemann, Phebe Vayanos, 2011 .

Linearly Adjustable International Portfolios

Daniel Kuhn, Berç Rustem, Raquel J. Fonseca, 2010 .

Data-driven Inverse Optimization with Incomplete Information

Daniel Kuhn, Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, 2015 .

Dynamic Mean-Variance Portfolio Analysis under Model Risk

Daniel Kuhn, Berç Rustem, Panos Parpas, 2009 .

Threshold Accepting Approach to Improve Bound-based Approximations for Portfolio Optimization

Daniel Kuhn, Berç Rustem, Panos Parpas, 2008 .

Convergent Bounds for Stochastic Programs with Expected Value Constraints

Daniel Kuhn, D. Kuhn, 2009 .

Stochastic Optimization of Investment Planning Problems in the Electric Power Industry

Daniel Kuhn, Berç Rustem, Panos Parpas, 2008 .