Post-doc at Toulouse School of Economics

Team: "Statistics and decision theory"

Research interests

Deep Learning Optimizers and Complexity bounds: Gradient Descent, Armijo Backtracking, Rescaled GD, Normalized GD, Momentum/Heavy-Ball, RMSProp, Adam
Mini-Batch Optimization: Stochastic Gradient Descent and Reshuffling, Incremental algorithms, Variance Reduction
Fairness in ML: amplification of bias, unbalanced data (resampling)
Stability Theory: Lyapunov and partial stability of differential equations and discrete systems
Dissipative systems: asymptotic convergence rates under Kurdyka-Lojasiewicz structure
Structure preserving scheme: Discrete Gradient and Invariant Energy Quadratization method
Splitting schemes: especially balanced ones
Code verification for Deep Learning

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