ESSEC METALAB

RESEARCH

Expanding Scientific Knowledge

ESSEC’s approach to AI, Data Science and Technology is original and reflects our strengths and tradition of excellence of research in Data Science, Economics, Management, Law and Social Sciences. Through their academic research, the 160 Research Professors at ESSEC improve society's understanding of the profound transformations caused by the advancement of science. They all prove everyday that social, economic and management sciences play a key role in fostering scientific and human progress.

Workplace & Business models

AI & Business Data Science

AI Policy & Regulation

Culture & Sustainability

LEARNING WITH SEMI-DEFINITE PROGRAMMING: STATISTICAL BOUNDS BASED ON FIXED POINT ANALYSIS AND EXCESS RISK CURVATURE

[ARTICLE] This paper leverages advanced techniques from empirical process theory and Statistical Learning Theory to provide precise statistical analysis and ...

A MOM-BASED ENSEMBLE METHOD FOR ROBUSTNESS, SUBSAMPLING AND HYPERPARAMETER TUNING

[ARTICLE] This paper constructs a robust alternative to cross-validation for hyperparameter tuning and model selection using a median-of-means principle. by Guillaume ...

SIMULTANEOUS DIMENSION REDUCTION AND CLUSTERING VIA THE NMF-EM ALGORITHM

[ARTICLE] This paper proposes a new parameter constraint for non-Gaussian mixture models using a small dictionary of elements. by Pierre Alquier ...

META-STRATEGY FOR LEARNING TUNING PARAMETERS WITH GUARANTEES

[ARTICLE] This paper proposes a meta-strategy for online learning methods like the online gradient algorithm (OGA) and exponentially weighted aggregation ...

A PERCEPTUALLY OPTIMISED BIVARIATE VISUALISATION SCHEME FOR HIGH-DIMENSIONAL FOLD-CHANGE DATA

[ARTICLE] This paper proposes and evaluates a comprehensible bivariate, perceptually optimized visualization scheme for high-dimensional data. by Adalbert Wilhelm (ESSEC Business ...

USING DIGITAL HUMANITIES AND LINGUISTICS TO HELP WITH TERRORISM INVESTIGATIONS

[ARTICLE] This article addresses the digital transformation of forensic science by using a tool-based linguistic analysis within the digital humanities ...

MAPPING INFORMATION AND IDENTIFYING DISINFORMATION BASED ON DIGITAL HUMANITIES METHODS: FROM ACCURACY TO PLASTICITY

[ARTICLE] This paper highlights the discursive dimension of Fake News, emphasizing the processes of turning information into discourse and constructing ...

FLOOR PLAN GENERATION THROUGH A MIXED CONSTRAINT PROGRAMMING-GENETIC OPTIMIZATION APPROACH

[ARTICLE] This paper presents a novel Optimizer algorithm for automatic apartment layout generation. by Florian Brun (ESSEC Business School), Graziella Laignel, Nicolas Pozin, Xavier Geffrier, ...

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