Daniel Kuhn

According to our database1, Daniel Kuhn authored at least 81 papers between 1994 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Distributionally robust optimization with polynomial densities: theory, models and algorithms.
Math. Program., 2020

Distributionally Robust Mechanism Design.
Manag. Sci., 2020

Large-Scale Assessment of Binding Free Energy Calculations in Active Drug Discovery Projects.
J. Chem. Inf. Model., 2020

A Statistical Test for Probabilistic Fairness.
CoRR, 2020

A Distributionally Robust Approach to Fair Classification.
CoRR, 2020

On Linear Optimization over Wasserstein Balls.
CoRR, 2020

2019
Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization.
SIAM J. Optim., 2019

"Dice"-sion-Making Under Uncertainty: When Can a Random Decision Reduce Risk?
Manag. Sci., 2019

Regularization via Mass Transportation.
J. Mach. Learn. Res., 2019

Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization.
CoRR, 2019

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning.
CoRR, 2019

RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems.
CoRR, 2019

The decision rule approach to optimization under uncertainty: methodology and applications.
Comput. Manag. Sci., 2019

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Decision Rule Bounds for Two-Stage Stochastic Bilevel Programs.
SIAM J. Optim., 2018

From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming.
SIAM J. Optim., 2018

Data-driven inverse optimization with imperfect information.
Math. Program., 2018

Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations.
Math. Program., 2018

Chebyshev Inequalities for Products of Random Variables.
Math. Oper. Res., 2018

Relative binding affinity prediction of farnesoid X receptor in the D3R Grand Challenge 2 using FEP+.
J. Comput. Aided Mol. Des., 2018

Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls.
Oper. Res., 2018

Wasserstein Distributionally Robust Kalman Filtering.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On Risk Reduction in Kelly Betting Using the Conservative Expected Value.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Ambiguous Joint Chance Constraints Under Mean and Dispersion Information.
Oper. Res., 2017

From Data to Decisions: Distributionally Robust Optimization is Optimal.
CoRR, 2017

2016
Distributionally Robust Control of Constrained Stochastic Systems.
IEEE Trans. Autom. Control., 2016

K-adaptability in two-stage distributionally robust binary programming.
Oper. Res. Lett., 2016

Generalized Gauss inequalities via semidefinite programming.
Math. Program., 2016

A comment on "computational complexity of stochastic programming problems".
Math. Program., 2016

Robust Growth-Optimal Portfolios.
Manag. Sci., 2016

<i>Computational Management Science</i> Special Issue on "Optimisation methods and applications in the energy sector".
Comput. Manag. Sci., 2016

2015
Financial Optimization: optimization paradigms and financial planning under uncertainty.
OR Spectr., 2015

A distributionally robust perspective on uncertainty quantification and chance constrained programming.
Math. Program., 2015

Distributionally robust multi-item newsvendor problems with multimodal demand distributions.
Math. Program., 2015

Generalized decision rule approximations for stochastic programming via liftings.
Math. Program., 2015

Interdiction Games on Markovian PERT Networks.
Manag. Sci., 2015

<i>K</i>-Adaptability in Two-Stage Robust Binary Programming.
Oper. Res., 2015

Distributionally Robust Logistic Regression.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Distributionally Robust Convex Optimization.
Oper. Res., 2014

Calculating Software Projects on a Mockup based approach.
Proceedings of the Joint Proceedings of REFSQ-2014 Workshops, 2014

2013
Distributionally robust joint chance constraints with second-order moment information.
Math. Program., 2013

Robust Markov Decision Processes.
Math. Oper. Res., 2013

Worst-Case Value at Risk of Nonlinear Portfolios.
Manag. Sci., 2013

Parallel partitioning for distributed systems using sequential assignment.
J. Parallel Distributed Comput., 2013

A Polynomial-Time Solution Scheme for Quadratic Stochastic Programs.
J. Optim. Theory Appl., 2013

Robust Data-Driven Dynamic Programming.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Polynomial Approximations for Continuous Linear Programs.
SIAM J. Optim., 2012

Robust resource allocations in temporal networks.
Math. Program., 2012

Improving communication latency with the write-only architecture.
J. Parallel Distributed Comput., 2012

Combining Global and Local Measures for Structure-Based Druggability Predictions.
J. Chem. Inf. Model., 2012

Robust Software Partitioning with Multiple Instantiation.
INFORMS J. Comput., 2012

Multistage stochastic portfolio optimisation in deregulated electricity markets using linear decision rules.
Eur. J. Oper. Res., 2012

Optimal decision making under uncertainty.
Comput. Manag. Sci., 2012

DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment.
Bioinform., 2012

A constraint sampling approach for multi-stage robust optimization.
Autom., 2012

Multi-resource allocation in stochastic project scheduling.
Ann. Oper. Res., 2012

Risk-averse shortest path problems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
An Efficient Method to Estimate the Suboptimality of Affine Controllers.
IEEE Trans. Autom. Control., 2011

Primal and dual linear decision rules in stochastic and robust optimization.
Math. Program., 2011

Robust portfolio optimization with derivative insurance guarantees.
Eur. J. Oper. Res., 2011

Preface.
Comput. Manag. Sci., 2011

SQPR: Stream query planning with reuse.
Proceedings of the 27th International Conference on Data Engineering, 2011

Combining Markov Decision Processes with Linear Optimal Controllers.
Proceedings of the 2011 Imperial College Computing Student Workshop, 2011

Decision rules for information discovery in multi-stage stochastic programming.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A scenario approach for estimating the suboptimality of linear decision rules in two-stage robust optimization.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Scenario-free stochastic programming with polynomial decision rules.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Maximizing the net present value of a project under uncertainty.
Eur. J. Oper. Res., 2010

A cutting-plane method for Mixed-Logical Semidefinite Programs with an application to multi-vehicle robust path planning.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
An Information-Based Approximation Scheme for Stochastic Optimization Problems in Continuous Time.
Math. Oper. Res., 2009

Valuation of electricity swing options by multistage stochastic programming.
Autom., 2009

2008
Aggregation and discretization in multistage stochastic programming.
Math. Program., 2008

Bound-based decision rules in multistage stochastic programming.
Kybernetika, 2008

A Stochastic Programming Approach for QoS-Aware Service Composition.
Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008

2007
Multiple Graph Alignment for the Structural Analysis of Protein Active Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Graph Alignment: Fuzzy Pattern Mining for the Structural Analysis of Protein Active Sites.
Proceedings of the FUZZ-IEEE 2007, 2007

2004
Efficient similarity search in protein structure databases by k-clique hashing.
Bioinform., 2004

Graph Alignments: A New Concept to Detect Conserved Regions in Protein Active Sites.
Proceedings of the German Conference on Bioinformatics (GCB 2004), Bielefeld, 2004

2003
Efficient Similarity Search in Protein Structure Databases: Improving Cliqae-Detection through Clique Hashing.
Proceedings of the German Conference on Bioinformatics, 2003

1995
Neural approach to visual servoing for robotic hand eye coordination.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994
A Transputer-Based Visually-Guided Robot System Using Neuro-Control.
Proceedings of the High-Performance Computing and Networking, 1994


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