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06/11/2023
Improving the Validity of Decision Trees as Explanations
In classification and forecasting with tabular data, one often utilizes ...
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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...
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11/05/2022
Statistical timing analysis via modern optimization lens
We formulate statistical static timing analysis (SSTA) as a mixed-intege...
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10/15/2022
Time-Varying Semidefinite Programming: Path Following a Burer–Monteiro Factorization
We present an online algorithm for time-varying semidefinite programs (T...
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09/12/2022
Fairness in Forecasting of Observations of Linear Dynamical Systems
In machine learning, training data often capture the behaviour of multip...
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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...
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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...
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06/23/2022
Stochastic Langevin Differential Inclusions with Applications to Machine Learning
Stochastic differential equations of Langevin-diffusion form have receiv...
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06/13/2022
On the Design of Decentralised Data Markets
We present an architecture to implement a decentralised data market, whe...
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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,...
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11/19/2021
Randomized Algorithms for Monotone Submodular Function Maximization on the Integer Lattice
Optimization problems with set submodular objective functions have many ...
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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...
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06/04/2021
Subgroup Fairness in Two-Sided Markets
It is well known that two-sided markets are unfair in a number of ways. ...
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05/19/2021
Trilevel and Multilevel Optimization using Monotone Operator Theory
We consider rather a general class of multi-level optimization problems,...
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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...
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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...
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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...
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07/31/2020
Predictability and Fairness in Social Sensing
In many applications, one may benefit from the collaborative collection ...
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06/12/2020
Fairness in Forecasting and Learning Linear Dynamical Systems
As machine learning becomes more pervasive, the urgency of assuring its ...
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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 ...
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12/09/2019
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection
Many real-world monitoring and surveillance applications require non-tri...
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09/22/2019
Iterated Piecewise-Stationary Random Functions
Within the study of uncertain dynamical systems, iterated random functio...
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09/16/2019
On-line Non-Convex Constrained Optimization
Time-varying non-convex continuous-valued non-linear constrained optimiz...
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06/23/2019
A Fine-Grained Variant of the Hierarchy of Lasserre
There has been much recent interest in hierarchies of progressively stro...
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04/06/2019
Semidefinite Programming in Timetabling and Mutual-Exclusion Scheduling
In scheduling and timetabling applications, the mutual-exclusion constra...
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10/22/2018
Scaling up Deep Learning for PDE-based Models
In numerous applications, forecasting relies on numerical solvers for pa...
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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...
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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...
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08/03/2018
Robust Spectral Filtering and Anomaly Detection
We consider a setting, where the output of a linear dynamical system (LD...
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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...
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02/10/2018
Low-Rank Methods in Event Detection
We present low-rank methods for event detection. We assume that normal o...
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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...
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04/12/2016
Resource Allocation with Population Dynamics
Many analyses of resource-allocation problems employ simplistic models o...
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01/25/2016
Pricing Vehicle Sharing with Proximity Information
For vehicle sharing schemes, where drop-off positions are not fixed, we ...
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12/05/2014
Integer Programming Ensemble of Classifiers for Temporal Relations
Extraction of events and understanding related temporal expression among...
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08/11/2014
Matrix Completion under Interval Uncertainty
Matrix completion under interval uncertainty can be cast as matrix compl...
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04/09/2014
