====== Stochastic calculus for Machine Learning ====== {{ world:cours:qr-code-mva.png?150 }} ====== Registration to the course ====== * [[https://docs.google.com/forms/d/1mIXLc_cU4hGWMX3RbmbykL97uZZm2SEMOxbdBY6UxoU/edit|Please register here]] ====== Program of the course ====== * **Where?** ENS Paris-Saclay. /*Room: 1A14.*/ * **When?** /*Every course will hold on Thursday from 9H to 12H00 (exact dates are given below).*/ ^ ^ Topics ^ Material ^ | 1 | Brownian motion and the Wiener space: defintions and first properties | {{:world:prob_0.pdf| TD 0}} and {{:world:BM0.pdf| TD 1}} and {{:world:chap_1-_brownian_motion_and_v1.pdf|notes}} | | 2 | Brownian motion: Markov property and further properties | {{:world:td3_cs.pdf| TD 3}} and {{:world:note_2_cs.pdf| notes}} | | 3 | End Chapter 2. Filtration and measurability. Starting continuous martingales | {{:world:chap_2_complete_cs.pdf| complete notes chapter 2}} and {{:world:chap3_cs.pdf| notes chapter 3}} | | 4 | Continuous martingales -- Bounded variation processes | {{:world:chap4_cs.pdf| notes chapter 4}} {{:world:td_mart_mva.pdf| TD3}} | | 5 | Local martingales and their bracket | {{:world:chap5_cs.pdf| notes chapter 5}} {{:world:td_semi_mart_mva.pdf| TD4}} | | 6 | Stochastic integration with respect to semi-martingales | {{:world:chap_5_cs_end.pdf| notes End chapter 5}} {{:world:chap6_cs.pdf| notes chapter 6}} {{:world:td_sto_int.pdf| TD5}} | | 7 | Ito formula | {{:world:chap_7_cs.pdf| notes chapter 7}} {{:world:td_7_cs.pdf| TD6}} | | 8 | | | ===== Evaluation ===== ===== Contact ===== ^ name ^ email adresses ^ | Alain Durmus | alain.durmus **"Arobase"** polytechnique.edu | ---- ~~DISCUSSION~~