
Randomized Algorithms for Monotone Submodular Function Maximization on the Integer Lattice
Optimization problems with set submodular objective functions have many ...
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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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Subgroup Fairness in TwoSided Markets
It is well known that twosided markets are unfair in a number of ways. ...
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Trilevel and Multilevel Optimization using Monotone Operator Theory
We consider rather a general class of multilevel optimization problems,...
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Unique Ergodicity in the Interconnections of Ensembles with Applications to TwoSided Markets
There has been much recent interest in twosided markets and dynamics th...
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A spaceindexed formulation of packing boxes into a larger box
Current integer programming solvers fail to decide whether 12 unit cubes...
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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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Predictability and Fairness in Social Sensing
In many applications, one may benefit from the collaborative collection ...
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Fairness in Forecasting and Learning Linear Dynamical Systems
As machine learning becomes more pervasive, the urgency of assuring its ...
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Proper Learning of Linear Dynamical Systems as a NonCommutative Polynomial Optimisation Problem
There has been much recent progress in forecasting the next observation ...
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Deep Autoencoders with ValueatRisk Thresholding for Unsupervised Anomaly Detection
Many realworld monitoring and surveillance applications require nontri...
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Iterated PiecewiseStationary Random Functions
Within the study of uncertain dynamical systems, iterated random functio...
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Online NonConvex Constrained Optimization
Timevarying nonconvex continuousvalued nonlinear constrained optimiz...
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A FineGrained Variant of the Hierarchy of Lasserre
There has been much recent interest in hierarchies of progressively stro...
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Semidefinite Programming in Timetabling and MutualExclusion Scheduling
In scheduling and timetabling applications, the mutualexclusion constra...
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Scaling up Deep Learning for PDEbased Models
In numerous applications, forecasting relies on numerical solvers for pa...
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OnLine Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters
Kalman filter is a key tool for timeseries forecasting and analysis. We...
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Pursuit of LowRank Models of TimeVarying Matrices Robust to Sparse and Measurement Noise
In tracking of timevarying lowrank models of timevarying matrices, we...
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Robust Spectral Filtering and Anomaly Detection
We consider a setting, where the output of a linear dynamical system (LD...
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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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LowRank Methods in Event Detection
We present lowrank methods for event detection. We assume that normal o...
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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 2Gaus...
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Resource Allocation with Population Dynamics
Many analyses of resourceallocation problems employ simplistic models o...
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Pricing Vehicle Sharing with Proximity Information
For vehicle sharing schemes, where dropoff positions are not fixed, we ...
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Integer Programming Ensemble of Classifiers for Temporal Relations
Extraction of events and understanding related temporal expression among...
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Matrix Completion under Interval Uncertainty
Matrix completion under interval uncertainty can be cast as matrix compl...
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rExtreme Signalling for Congestion Control
In many "smart city" applications, congestion arises in part due to the ...
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Jakub Marecek
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