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Data-based model maintenance in the era of industry 4.0: A methodology

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Stochastic Models for Comparison-based Search

Daniyar Chumbalov

In this thesis we study a problem of searching in a space of objects using comparisons. To navigate through the space to the target object

t

, we ask a sequence of questions of the form ``which object

i

j

is closer to

t

?'' for which we observe no ...

EPFL2023

Data-based model maintenance in the era of industry 4.0: A methodology

Graph Chatbot

Chattez avec Graph Search

Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

Stochastic Models for Comparison-based Search

Memory of Motion for Initializing Optimization in Robotics

Predicting in Uncertain Environments: Methods for Robust Machine Learning

Utility/privacy trade-off as regularized optimal transport

KPC: Learning-Based Model Predictive Control with Deterministic Guarantees

A Robust Optimization Framework for the Day-Ahead Scheduling of Active Distribution Networks including Energy Storage Systems

Maximum-likelihood estimation of kinetic parameters via the extent-based incremental approach

Exploiting structure of chance constrained programs via submodularity

Scalable Convex Optimization Methods for Semidefinite Programming

Scalable Convex Optimization Methods for Semidefinite Programming

Maximum-likelihood estimation of kinetic parameters via the extent-based incremental approach

Memory of Motion for Initializing Optimization in Robotics

Exploiting structure of chance constrained programs via submodularity

Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

Predicting in Uncertain Environments: Methods for Robust Machine Learning

Stochastic Models for Comparison-based Search

A Robust Optimization Framework for the Day-Ahead Scheduling of Active Distribution Networks including Energy Storage Systems

Utility/privacy trade-off as regularized optimal transport

KPC: Learning-Based Model Predictive Control with Deterministic Guarantees