Steven D. Prestwich

Orcid: 0000-0002-6218-9158

Affiliations:
  • University College Cork, Insight Centre for Data Analytics, Ireland
  • National University of Ireland at Cork, Department of Computer Science, Ireland
  • University of Manchester, UK (PhD)


According to our database1, Steven D. Prestwich authored at least 125 papers between 1990 and 2024.

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

Timeline

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Bibliography

2024
Multi-Objective BiLevel Optimization by Bayesian Optimization.
Algorithms, April, 2024

A statistical approach to learning constraints.
Int. J. Approx. Reason., 2024

Optimizing Quantile-based Trading Strategies in Electricity Arbitrage.
CoRR, 2024

Electricity Price Forecasting in the Irish Balancing Market.
CoRR, 2024

A Fully Bayesian Approach to Bilevel Problems.
Proceedings of the Algorithmic Decision Theory - 8th International Conference, 2024

2023
Stochastic dynamic programming heuristic for the (R,s,S) policy parameters computation.
Comput. Oper. Res., October, 2023

Uncertainty-Aware Workload Prediction in Cloud Computing.
CoRR, 2023

BHO-MA: Bayesian Hyperparameter Optimization with Multi-objective Acquisition.
Proceedings of the Optimization, Learning Algorithms and Applications, 2023

Solving Mixed Influence Diagrams by Reinforcement Learning.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Bilevel Optimization by Conditional Bayesian Optimization.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Clustering-Based Numerosity Reduction for Cloud Workload Forecasting.
Proceedings of the Algorithmic Aspects of Cloud Computing - 8th International Symposium, 2023

2022
A hybrid estimation of distribution algorithm for joint stratification and sample allocation.
CoRR, 2022

A multi-objective supplier selection framework based on user-preferences.
Ann. Oper. Res., 2022

Bayesian Optimization with Multi-objective Acquisition Function for Bilevel Problems.
Proceedings of the Artificial Intelligence and Cognitive Science - 30th Irish Conference, 2022

Bayesian Uncertainty Modelling for Cloud Workload Prediction.
Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

2021
CNF Encodings.
Proceedings of the Handbook of Satisfiability - Second Edition, 2021

An analytics-based heuristic decomposition of a bilevel multiple-follower cutting stock problem.
OR Spectr., 2021

Computing optimal (R, s, S) policy parameters by a hybrid of branch-and-bound and stochastic dynamic programming.
Eur. J. Oper. Res., 2021

Combining K-means type algorithms with Hill Climbing for Joint Stratification and Sample Allocation Designs.
CoRR, 2021

Classifier-based constraint acquisition.
Ann. Math. Artif. Intell., 2021

Unsupervised PulseNet: Automated Pruning of Convolutional Neural Networks by K-Means Clustering.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Unsupervised Constraint Acquisition.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020
PulseNetOne: Fast Unsupervised Pruning of Convolutional Neural Networks for Remote Sensing.
Remote. Sens., 2020

Generating Difficult CNF Instances in Unexplored Constrainedness Regions.
ACM J. Exp. Algorithmics, 2020

A Simulated Annealing Algorithm for Joint Stratification and Sample Allocation Designs.
CoRR, 2020

Robust Constraint Acquisition by Sequential Analysis.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Generating Difficult SAT Instances by Preventing Triangles.
CoRR, 2019

Pulse-Net: Dynamic Compression of Convolutional Neural Networks.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Modelling Dynamic Programming-Based Global Constraints in Constraint Programming.
Proceedings of the Optimization of Complex Systems: Theory, 2019

Analytics-Based Decomposition of a Class of Bilevel Problems.
Proceedings of the Optimization of Complex Systems: Theory, 2019

Deep Learning Human Activity Recognition.
Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019

2018
A new causal discovery heuristic.
Ann. Math. Artif. Intell., 2018

Towards a Closer Integration of Dynamic Programming and Constraint Programming.
Proceedings of the GCAI-2018, 2018

Denoising Dictionary Learning Against Adversarial Perturbations.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Declarative Statistics.
CoRR, 2017

Stochastic Constraint Programming as Reinforcement Learning.
CoRR, 2017

A Probabilistic Programming Language for Influence Diagrams.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

2016
The BIN_COUNTS Constraint: Filtering and Applications.
CoRR, 2016

Robust Principal Component Analysis by Reverse Iterative Linear Programming.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Bounding the Search Space of the Population Harvest Cutting Problem with Multiple Size Stock Selection.
Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016

Causal Discovery by Randomness Test.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2016

Constraint Problem Specification as Compression.
Proceedings of the GCAI 2016. 2nd Global Conference on Artificial Intelligence, September 19, 2016

Relevance-Redundancy Dominance: A Threshold-Free Approach to Filter-Based Feature Selection.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

2015
Hybrid metaheuristics for stochastic constraint programming.
Constraints An Int. J., 2015

Confidence-based reasoning in stochastic constraint programming.
Artif. Intell., 2015

Solving a Hard Cutting Stock Problem by Machine Learning and Optimisation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Randomness as a Constraint.
Proceedings of the Principles and Practice of Constraint Programming, 2015

2014
Confidence-based optimisation for the newsvendor problem under binomial, Poisson and exponential demand.
Eur. J. Oper. Res., 2014

Piecewise linear lower and upper bounds for the standard normal first order loss function.
Appl. Math. Comput., 2014

Computational protein design as an optimization problem.
Artif. Intell., 2014

Online Stochastic Planning for Taxi and Ridesharing.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Statistical Constraints.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Symmetry Breaking for Exact Solutions in Adjustable Robust Optimisation.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
Improved Branch-and-Bound for Low Autocorrelation Binary Sequences
CoRR, 2013

Forecasting Intermittent Demand by Hyperbolic-Exponential Smoothing.
CoRR, 2013

Value Interchangeability in Scenario Generation.
Proceedings of the Principles and Practice of Constraint Programming, 2013

Dead-End Elimination for Weighted CSP.
Proceedings of the Principles and Practice of Constraint Programming, 2013

2012
Earthquake Scenario Reduction by Symmetry Reasoning
CoRR, 2012

Confidence-based Optimization for the Newsvendor Problem.
CoRR, 2012

Partial symmetry breaking by local search in the group.
Constraints An Int. J., 2012

Constraint programming for stochastic inventory systems under shortage cost.
Ann. Oper. Res., 2012

Filtering algorithms for global chance constraints.
Artif. Intell., 2012

2011
Finding (α, ϑ)-Solutions via Sampled SCSPs.
Proceedings of the IJCAI 2011, 2011

Risk-Averse Production Planning.
Proceedings of the Algorithmic Decision Theory - Second International Conference, 2011

2010
Scheduling internal audit activities: a stochastic combinatorial optimization problem.
J. Comb. Optim., 2010

Production Planning for Pharmaceutical Companies Under Non-Compliance Risk.
Proceedings of the Operations Research Proceedings 2010, 2010

Stochastic Constraint Programming by Neuroevolution with Filtering.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2010

2009
CNF Encodings.
Proceedings of the Handbook of Satisfiability, 2009

A note on Liu-Iwamura's dependent-chance programming.
Eur. J. Oper. Res., 2009

On Improving Local Search for Unsatisfiability
Proceedings of the Proceedings 6th International Workshop on Local Search Techniques in Constraint Satisfaction, 2009

Cost-Based Filtering Techniques for Stochastic Inventory Control Under Service Level Constraints.
Constraints An Int. J., 2009

Finding reliable solutions: event-driven probabilistic constraint programming.
Ann. Oper. Res., 2009

Evolving Parameterised Policies for Stochastic Constraint Programming.
Proceedings of the Principles and Practice of Constraint Programming, 2009

Synthesizing Filtering Algorithms for Global Chance-Constraints.
Proceedings of the Principles and Practice of Constraint Programming, 2009

Neuroevolutionary Inventory Control in Multi-Echelon Systems.
Proceedings of the Algorithmic Decision Theory, First International Conference, 2009

2008
The Relation Between Complete and Incomplete Search.
Proceedings of the Hybrid Metaheuristics, An Emerging Approach to Optimization, 2008

Generalised graph colouring by a hybrid of local search and constraint programming.
Discret. Appl. Math., 2008

A Global Chance-Constraint for Stochastic Inventory Systems Under Service Level Constraints.
Constraints An Int. J., 2008

Boosting Haplotype Inference with Local Search.
Constraints An Int. J., 2008

A Steady-State Genetic Algorithm with Resampling for Noisy Inventory Control.
Proceedings of the Parallel Problem Solving from Nature, 2008

A Cultural Algorithm for POMDPs from Stochastic Inventory Control.
Proceedings of the Hybrid Metaheuristics, 5th International Workshop, 2008

Cost-Based Domain Filtering for Stochastic Constraint Programming.
Proceedings of the Principles and Practice of Constraint Programming, 2008

2007
Exploiting relaxation in local search for LABS.
Ann. Oper. Res., 2007

Variable Dependency in Local Search: Prevention Is Better Than Cure.
Proceedings of the Theory and Applications of Satisfiability Testing, 2007

Tuning Local Search by Average-Reward Reinforcement Learning.
Proceedings of the Learning and Intelligent Optimization, Second International Conference, 2007

Replenishment Planning for Stochastic Inventory Systems with Shortage Cost.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2007

Refutation by Randomised General Resolution.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Hard and soft constraints for reasoning about qualitative conditional preferences.
J. Heuristics, 2006

Constraint Models for the Covering Test Problem.
Constraints An Int. J., 2006

Local Search for Unsatisfiability.
Proceedings of the Theory and Applications of Satisfiability Testing, 2006

Cost-Based Filtering for Stochastic Inventory Control.
Proceedings of the Recent Advances in Constraints, 2006

Event-Driven Probabilistic Constraint Programming.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2006

2005
A SAT approach to query optimization in mediator systems.
Ann. Math. Artif. Intell., 2005

Random Walk with Continuously Smoothed Variable Weights.
Proceedings of the Theory and Applications of Satisfiability Testing, 2005

Symmetry Breaking and Local Search Spaces.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2005

Bounds-Consistent Local Search.
Proceedings of the Principles and Practice of Constraint Programming, 2005

Constraint-Based Preferential Optimization.
Proceedings of the Proceedings, 2005

2004
Incomplete Dynamic Backtracking for Linear Pseudo-Boolean Problems.
Ann. Oper. Res., 2004

Local Search for Very Large SAT Problems.
Proceedings of the SAT 2004, 2004

Constraint-Based Approaches to the Covering Test Problem.
Proceedings of the Recent Advances in Constraints, 2004

Full Dynamic Substitutability by SAT Encoding.
Proceedings of the Principles and Practice of Constraint Programming, 2004

2003
SAT problems with chains of dependent variables.
Discret. Appl. Math., 2003

Negative Effects of Modeling Techniques on Search Performance.
Ann. Oper. Res., 2003

Local Search on SAT-encoded Colouring Problems.
Proceedings of the Theory and Applications of Satisfiability Testing, 2003

A SAT-Based Approach to Multiple Sequence Alignment.
Proceedings of the Principles and Practice of Constraint Programming, 2003

2002
Combining the Scalability of Local Search with the Pruning Techniques of Systematic Search.
Ann. Oper. Res., 2002

Coloration Neighbourhood Search With Forward Checking.
Ann. Math. Artif. Intell., 2002

A Local Search Algorithm for Balanced Incomplete Block Designs.
Proceedings of the Recent Advances in Constraints, 2002

2000
Parallel Software Performance Metrics as Continuous Functions of Event Times.
Proceedings of the First Irish Conference on the Mathematical Foundations of Computer Science and Information Technology, 2000

Some Pitfalls of Parallel Logic Programming.
Comput. Artif. Intell., 2000

Stochastic Local search in Constrained Spaces.
Proceedings of the Second International Conference on the Practical Application of Constraint Technologies and Logic Programming, 2000

A Hybrid Search Architecture Applied to Hard Random 3-SAT and Low-Autocorrelation Binary Sequences.
Proceedings of the Principles and Practice of Constraint Programming, 2000

1999
Using an Incomplete Version of Dynamic Backtracking for Graph Colouring.
Electron. Notes Discret. Math., 1999

1998
A Generic Approach to Combining Stochastic Algorithms with Systematic Constraint Solvers.
Proceedings of the Frontiers of Combining Systems, Second International Workshop, 1998

1996
Visualizing Parallel Logic Program Execution for Performance Tuning.
Proceedings of the Logic Programming, 1996

1995
Improved Branch and Bound in Constraint Logic Programming.
Proceedings of the Principles and Practice of Constraint Programming, 1995

1994
High-Level Visualisation of Parallel Logic Program Execution.
Proceedings of the PARLE '94: Parallel Architectures and Languages Europe, 1994

On Logic Program Parallelisation Strategies.
Proceedings of the Parallel Processing: CONPAR 94, 1994

1993
Online Partial Deduction of Large Programs.
Proceedings of the ACM SIGPLAN Symposium on Partial Evaluation and Semantics-Based Program Manipulation, 1993

Programmer-Oriented Visualization of Parallel Logic Program Execution.
Proceedings of the 5th Workshop on Logic Programming Environments (LPE 1993), 1993

1992
Meta-Programming for Reordering Literals in Deductive Databases.
Proceedings of the Meta-Programming in Logic, 3rd International Workshop, 1992

An Unfold Rule for Full Prolog.
Proceedings of the Logic Program Synthesis and Transformation, 1992

1991
Synthesis of a Family of Recursive Sorting Procedures.
Proceedings of the Logic Programming, Proceedings of the 1991 International Symposium, San Diego, California, USA, Oct. 28, 1991

1990
Top-down Synthesis of Recursive Logic Procedures from First-order Logic Specifications.
Proceedings of the Logic Programming, 1990


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