universiteit leiden

research

∙ 04/13/2022

Chaining of Numerical Black-box Algorithms: Warm-Starting and Switching Points

Dynamic algorithm selection can be beneficial for solving numerical blac...

Dominik Schröder, et al. ∙

research

∙ 01/17/2022

Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images

Automated symmetry detection is still a difficult task in 2021. However,...

Koen Ponse, et al. ∙

research

∙ 08/24/2021

Self-optimizing adaptive optics control with Reinforcement Learning for high-contrast imaging

Current and future high-contrast imaging instruments require extreme ada...

Rico Landman, et al. ∙

research

∙ 06/21/2020

A Modular Hybridization of Particle Swarm Optimization and Differential Evolution

In swarm intelligence, Particle Swarm Optimization (PSO) and Differentia...

Rick Boks, et al. ∙

research

∙ 04/28/2022

High Dimensional Bayesian Optimization with Kernel Principal Component Analysis

Bayesian Optimization (BO) is a surrogate-based global optimization stra...

Kirill Antonov, et al. ∙

research

∙ 08/06/2020

Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification

Visible-infrared person re-identification (VI-ReID) is a challenging and...

Nan Pu, et al. ∙

research

∙ 04/20/2022

Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms

The stochastic nature of iterative optimization heuristics leads to inhe...

Diederick Vermetten, et al. ∙

research

∙ 06/01/2021

Value propagation-based spatio-temporal interpolation inspired by Markov reward processes

Given the common problem of missing data in real-world applications from...

Laurens Arp, et al. ∙

research

∙ 05/10/2021

Is there Anisotropy in Structural Bias?

Structural Bias (SB) is an important type of algorithmic deficiency with...

Diederick Vermetten, et al. ∙

research

∙ 07/17/2021

High-Accuracy Model-Based Reinforcement Learning, a Survey

Deep reinforcement learning has shown remarkable success in the past few...

Aske Plaat, et al. ∙

research

∙ 02/01/2022

Advances in MetaDL: AAAI 2021 challenge and workshop

To stimulate advances in metalearning using deep learning techniques (Me...

Adrian El Baz, et al. ∙

research

∙ 03/19/2019

Hyper-Parameter Sweep on AlphaZero General

Since AlphaGo and AlphaGo Zero have achieved breakground successes in th...

Hui Wang, et al. ∙

research

∙ 06/10/2020

Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability

We investigate a family of (μ+λ) Genetic Algorithms (GAs) which creates ...

Furong Ye, et al. ∙

research

∙ 09/28/2021

Improved prediction rule ensembling through model-based data generation

Prediction rule ensembles (PRE) provide interpretable prediction models ...

Benny Markovitch, et al. ∙

research

∙ 04/13/2022

Trajectory-based Algorithm Selection with Warm-starting

Landscape-aware algorithm selection approaches have so far mostly been r...

Anja Jankovic, et al. ∙

research

∙ 03/15/2020

On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks

Crew pairing optimization (CPO) is critically important for any airline,...

Divyam Aggarwal, et al. ∙

research

∙ 10/14/2018

Assessing the Potential of Classical Q-learning in General Game Playing

After the recent groundbreaking results of AlphaGo and AlphaZero, we hav...

Hui Wang, et al. ∙

research

∙ 03/12/2020

Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?

The landmark achievements of AlphaGo Zero have created great research in...

Hui Wang, et al. ∙

research

∙ 11/06/2021

Distinguishing Commercial from Editorial Content in News

How can we distinguish commercial from editorial content in news, or mor...

Timo Kats, et al. ∙

research

∙ 08/13/2018

Semiparametric Bayesian causal inference using Gaussian process priors

We develop a semiparametric Bayesian approach for estimating the mean re...

Kolyan Ray, et al. ∙

research

∙ 07/24/2018

Computational speedups using small quantum devices

Suppose we have a small quantum computer with only M qubits. Can such a ...

Vedran Dunjko, et al. ∙

research

∙ 09/21/2020

TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search Retrieval

The TREC Video Retrieval Evaluation (TRECVID) 2019 was a TREC-style vide...

George Awad, et al. ∙

research

∙ 03/25/2022

High Dimensional Quantum Learning With Small Quantum Computers

Quantum computers hold great promise to enhance machine learning, but th...

Simon C. Marshall, et al. ∙

research

∙ 04/10/2018

Fast and scalable non-parametric Bayesian inference for Poisson point processes

We study the problem of non-parametric Bayesian estimation of the intens...

Shota Gugushvili, et al. ∙

research

∙ 10/17/2018

Bayesian wavelet de-noising with the caravan prior

According to both domain expertise knowledge and empirical evidence, wav...

Shota Gugushvili, et al. ∙

research

∙ 05/17/2022

Calculating LRs for presence of body fluids from mRNA assay data in mixtures

Messenger RNA (mRNA) profiling can identify body fluids present in a sta...

R. J. F. Ypma, et al. ∙

research

∙ 10/18/2021

Fair Tree Learning

When dealing with sensitive data in automated data-driven decision-makin...

António Pereira Barata, et al. ∙

research

∙ 08/09/2021

DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval

In this paper, we present our approaches for the case law retrieval and ...

Sophia Althammer, et al. ∙

research

∙ 04/26/2019

Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms

In the field of multi-objective optimization algorithms, multi-objective...

Kaifeng Yang, et al. ∙

research

∙ 05/11/2019

Information search in a professional context - exploring a collection of professional search tasks

Search conducted in a work context is an everyday activity that has been...

Suzan Verberne, et al. ∙

research

∙ 05/16/2022

CGR-CUSUM: A Continuous time Generalized Rapid Response Cumulative Sum chart

Rapidly detecting problems in the quality of care is of utmost importanc...

Daniel Gomon, et al. ∙

research

∙ 11/09/2022

Resource frugal optimizer for quantum machine learning

Quantum-enhanced data science, also known as quantum machine learning (Q...

Charles Moussa, et al. ∙

research

∙ 10/17/2016

Evolving the Structure of Evolution Strategies

Various variants of the well known Covariance Matrix Adaptation Evolutio...

Sander van Rijn, et al. ∙

research

∙ 01/23/2023

Injecting the BM25 Score as Text Improves BERT-Based Re-rankers

In this paper we propose a novel approach for combining first-stage lexi...

Arian Askari, et al. ∙

research

∙ 01/20/2022

A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation

As the popularity of Location-based Social Networks (LBSNs) increases, d...

Hossein A. Rahmani, et al. ∙

research

∙ 03/24/2022

Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines

Data-driven modeling is an imperative tool in various industrial applica...

Marios Kefalas, et al. ∙

research

∙ 07/29/2021

The Bradly-Terry Regression Trunk approach for modelling preference data with small trees

This paper introduces the Bradley-Terry Regression Trunk model, a novel ...

Alessio Baldassarre, et al. ∙

research

∙ 03/31/2020

Automated Configuration of Negotiation Strategies

Bidding and acceptance strategies have a substantial impact on the outco...

Bram M. Renting, et al. ∙

research

∙ 09/26/2019

Debiased Bayesian inference for average treatment effects

Bayesian approaches have become increasingly popular in causal inference...

Kolyan Ray, et al. ∙

research

∙ 10/28/2016

Flexible constrained sampling with guarantees for pattern mining

Pattern sampling has been proposed as a potential solution to the infamo...

Vladimir Dzyuba, et al. ∙

research

∙ 07/11/2017

Multiple Context-Free Tree Grammars: Lexicalization and Characterization

Multiple (simple) context-free tree grammars are investigated, where "si...

Joost Engelfriet, et al. ∙

research

∙ 04/01/2020

Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning

The Obstacle Tower Challenge is the task to master a procedurally genera...

Marco Pleines, et al. ∙

research

∙ 01/19/2022

Expert Finding in Legal Community Question Answering

Expert finding has been well-studied in community question answering (QA...

Arian Askari, et al. ∙

research

∙ 08/25/2019

A Comparison of CNN and Classic Features for Image Retrieval

Feature detectors and descriptors have been successfully used for variou...

Umut Özaydın, et al. ∙

research

∙ 01/08/2018

Benchmarking Crimes: An Emerging Threat in Systems Security

Properly benchmarking a system is a difficult and intricate task. Unfort...

Erik van der Kouwe, et al. ∙

research

∙ 01/30/2018

Nonparametric Bayesian volatility estimation

Given discrete time observations over a fixed time interval, we study a ...

Shota Gugushvili, et al. ∙

research

∙ 08/16/2022

E-Statistics, Group Invariance and Anytime Valid Testing

We study worst-case growth-rate optimal (GROW) E-variables for hypothesi...

Muriel Felipe Pérez-Ortiz, et al. ∙

research

∙ 04/06/2018

A comparison of deep networks with ReLU activation function and linear spline-type methods

Deep neural networks (DNNs) generate much richer function spaces than sh...

Konstantin Eckle, et al. ∙

research

∙ 10/30/2017

Super-polynomial and exponential improvements for quantum-enhanced reinforcement learning

Recent work on quantum machine learning has demonstrated that quantum co...

Vedran Dunjko, et al. ∙

research

∙ 08/14/2022

TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval

Robust test collections are crucial for Information Retrieval research. ...

Sophia Althammer, et al. ∙

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