b'Jakub Marecek'

research

∙ 06/11/2023

Improving the Validity of Decision Trees as Explanations

In classification and forecasting with tabular data, one often utilizes ...

0 Jiří Němeček, et al. ∙

research

∙ 03/08/2023

A Survey of Quantum Alternatives to Randomized Algorithms: Monte Carlo Integration and Beyond

Monte Carlo sampling is a powerful toolbox of algorithmic techniques wid...

0 Philip Intallura, et al. ∙

research

∙ 11/05/2022

Statistical timing analysis via modern optimization lens

We formulate statistical static timing analysis (SSTA) as a mixed-intege...

0 Adam Bosak, et al. ∙

research

∙ 10/15/2022

Time-Varying Semidefinite Programming: Path Following a Burer–Monteiro Factorization

We present an online algorithm for time-varying semidefinite programs (T...

0 Antonio Bellon, et al. ∙

research

∙ 09/12/2022

Fairness in Forecasting of Observations of Linear Dynamical Systems

In machine learning, training data often capture the behaviour of multip...

0 Quan Zhou, et al. ∙

research

∙ 09/03/2022

Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions

There has been much recent interest in the regulation of AI. We argue fo...

0 Quan Zhou, et al. ∙

research

∙ 07/12/2022

Herd Routes: A Preventative IoT-Based System for Improving Female Pedestrian Safety on City Streets

Over two thirds of women of all ages in the UK have experienced some for...

0 Madeleine Woodburn, et al. ∙

research

∙ 06/23/2022

Stochastic Langevin Differential Inclusions with Applications to Machine Learning

Stochastic differential equations of Langevin-diffusion form have receiv...

0 Fabio V. Difonzo, et al. ∙

research

∙ 06/13/2022

On the Design of Decentralised Data Markets

We present an architecture to implement a decentralised data market, whe...

0 Aida Manzano Kharman, et al. ∙

research

∙ 03/31/2022

Recovering models of open quantum systems from data via polynomial optimization: Towards globally convergent quantum system identification

Current quantum devices suffer imperfections as a result of fabrication,...

0 Denys I. Bondar, et al. ∙

research

∙ 11/19/2021

Randomized Algorithms for Monotone Submodular Function Maximization on the Integer Lattice

Optimization problems with set submodular objective functions have many ...

0 Alberto Schiabel, et al. ∙

research

∙ 10/06/2021

Predictability and Fairness in Load Aggregation and Operations of Virtual Power Plants

In power systems, one wishes to regulate the aggregate demand of an ense...

0 Jakub Marecek, et al. ∙

research

∙ 06/04/2021

Subgroup Fairness in Two-Sided Markets

It is well known that two-sided markets are unfair in a number of ways. ...

0 Quan Zhou, et al. ∙

research

∙ 05/19/2021

Trilevel and Multilevel Optimization using Monotone Operator Theory

We consider rather a general class of multi-level optimization problems,...

0 Allahkaram Shafiei, et al. ∙

research

∙ 04/30/2021

Unique Ergodicity in the Interconnections of Ensembles with Applications to Two-Sided Markets

There has been much recent interest in two-sided markets and dynamics th...

0 Ramen Ghosh, et al. ∙

research

∙ 01/02/2021

A space-indexed formulation of packing boxes into a larger box

Current integer programming solvers fail to decide whether 12 unit cubes...

0 Sam D. Allen, et al. ∙

research

∙ 11/01/2020

Screening for an Infectious Disease as a Problem in Stochastic Control

There has been much recent interest in screening populations for an infe...

0 Jakub Marecek, et al. ∙

research

∙ 07/31/2020

Predictability and Fairness in Social Sensing

In many applications, one may benefit from the collaborative collection ...

0 Ramen Ghosh, et al. ∙

research

∙ 06/12/2020

Fairness in Forecasting and Learning Linear Dynamical Systems

As machine learning becomes more pervasive, the urgency of assuring its ...

0 Quan Zhou, et al. ∙

research

∙ 02/04/2020

Proper Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimisation Problem

There has been much recent progress in forecasting the next observation ...

0 Quan Zhou, et al. ∙

research

∙ 12/09/2019

Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection

Many real-world monitoring and surveillance applications require non-tri...

11 Albert Akhriev, et al. ∙

research

∙ 09/22/2019

Iterated Piecewise-Stationary Random Functions

Within the study of uncertain dynamical systems, iterated random functio...

0 Ramen Ghosh, et al. ∙

research

∙ 09/16/2019

On-line Non-Convex Constrained Optimization

Time-varying non-convex continuous-valued non-linear constrained optimiz...

0 Olivier Massicot, et al. ∙

research

∙ 06/23/2019

A Fine-Grained Variant of the Hierarchy of Lasserre

There has been much recent interest in hierarchies of progressively stro...

0 Wann-Jiun Ma, et al. ∙

research

∙ 04/06/2019

Semidefinite Programming in Timetabling and Mutual-Exclusion Scheduling

In scheduling and timetabling applications, the mutual-exclusion constra...

0 Jakub Marecek, et al. ∙

research

∙ 10/22/2018

Scaling up Deep Learning for PDE-based Models

In numerous applications, forecasting relies on numerical solvers for pa...

0 Philipp Haehnel, et al. ∙

research

∙ 09/16/2018

On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters

Kalman filter is a key tool for time-series forecasting and analysis. We...

0 Mark Kozdoba, et al. ∙

research

∙ 09/10/2018

Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise

In tracking of time-varying low-rank models of time-varying matrices, we...

0 Albert Akhriev, et al. ∙

research

∙ 08/03/2018

Robust Spectral Filtering and Anomaly Detection

We consider a setting, where the output of a linear dynamical system (LD...

0 Jakub Marecek, et al. ∙

research

∙ 02/11/2018

The Use of Presence Data in Modelling Demand for Transportation

We consider the applicability of the data from operators of cellular sys...

0 Jonathan Epperlein, et al. ∙

research

∙ 02/10/2018

Low-Rank Methods in Event Detection

We present low-rank methods for event detection. We assume that normal o...

0 Jakub Marecek, et al. ∙

research

∙ 11/21/2017

Parameter Estimation in Gaussian Mixture Models with Malicious Noise, without Balanced Mixing Coefficients

We consider the problem of estimating means of two Gaussians in a 2-Gaus...

0 Jing Xu, et al. ∙

research

∙ 04/12/2016

Resource Allocation with Population Dynamics

Many analyses of resource-allocation problems employ simplistic models o...

0 Jonathan Epperlein, et al. ∙

research

∙ 01/25/2016

Pricing Vehicle Sharing with Proximity Information

For vehicle sharing schemes, where drop-off positions are not fixed, we ...

0 Jakub Marecek, et al. ∙

research

∙ 12/05/2014

Integer Programming Ensemble of Classifiers for Temporal Relations

Extraction of events and understanding related temporal expression among...

0 Catherine Kerr, et al. ∙

research

∙ 08/11/2014

Matrix Completion under Interval Uncertainty

Matrix completion under interval uncertainty can be cast as matrix compl...

0 Jakub Marecek, et al. ∙

research

∙ 04/09/2014

r-Extreme Signalling for Congestion Control

In many "smart city" applications, congestion arises in part due to the ...

0 Jakub Marecek, et al. ∙

Jakub Marecek

Featured Co-authors