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CompSciRN: Other Machine Learning (Topic)

Recent Top Papers (60 days)

As of: 01 Dec 2022 - 30 Jan 2023

Rank	Paper	Downloads
1.	Machine Learning in Banking - Tips & Tricks: Session 4 - Similarities with Unsupervised learning Eric Benhamou Université Paris Dauphine Date Posted: 22 Nov 2022 Last Revised: 23 Nov 2022	3,775
2.	Machine Learning in Banking - Tips & Tricks: Session 5 - Interpretability with Shapley values Eric Benhamou Université Paris Dauphine Date Posted: 22 Nov 2022 Last Revised: 23 Nov 2022	3,774
3.	Machine Learning in Banking - Tips & Tricks: Session 3 - Classification with Logistic Regression, Decision Trees and Neural Networks Eric Benhamou Université Paris Dauphine Date Posted: 22 Nov 2022 Last Revised: 23 Nov 2022	3,767
4.	Machine Learning Methods in Finance: Recent Applications and Prospects Daniel Hoang and Kevin Wiegratz Karlsruhe Institute of Technology (KIT) and Karlsruhe Institute of Technology Date Posted: 13 Dec 2022 Last Revised: 24 Jan 2023	549
5.	Autoencoder Market Models for Interest Rates Alexander Sokol CompatibL Date Posted: 16 Dec 2022 Last Revised: 17 Dec 2022	481
6.	The Blueprint for an AI Bill of Rights: In Search of Enaction, at Risk of Inaction Emmie Hine and Luciano Floridi University of Bologna- Department of Legal Studies and University of Oxford - Oxford Internet Institute Date Posted: 30 Nov 2022 Last Revised: 16 Jan 2023	411
7.	Media Narratives and Price Informativeness Chukwuma Dim, Francesco Sangiorgi and Grigory Vilkov George Washington University, Frankfurt School of Finance & Management and Frankfurt School of Finance & Management Date Posted: 12 Jan 2023 Last Revised: 30 Jan 2023	175
8.	Which Factors Matter Most? Can Startup Valuation be Micro-Targeted? Max Berre Audencia Business School Date Posted: 14 Dec 2022 Last Revised: 20 Dec 2022	142
9.	Detection of Burst Header Packet Flooding Attack in Optical Burst Switching Networks Using Gorilla Troops Optimizer and Extreme Learning Machine ABDERREZAK BENYAHIA, Ouahab KADRI and HAMOUMA MOUMEN University of Batna 2, University of Batna 2 and University of Batna 2 Date Posted: 18 Oct 2022 Last Revised: 14 Dec 2022	141
10.	Prediction-Based Limit Order Trading Christopher Felder University of Tübingen Date Posted: 10 Jan 2023 Last Revised: 30 Jan 2023	116

All Time Top Papers

As of: 02 Jan 1997 - 30 Jan 2023

Rank	Paper	Downloads
1.	Deep Reinforcement Learning for Portfolio Allocation Sandrine Ungari and Eric Benhamou Societe Generale and Université Paris Dauphine Date Posted: 12 Aug 2021 Last Revised: 12 Aug 2021	31,839
2.	Adaptive Supervised Learning for Volatility Targeting Models (Ecml Pkdd Midas 2021 Presentation Slides) Eric Benhamou, David Saltiel, Serge Tabachnik, Corentin Bourdeix, François Chareyron and Beatrice Guez Université Paris Dauphine, Université Paris Dauphine, Lombard Odier Investment Managers, Ecole Polytechnique Fédérale de Lausanne, Lombard Odier Investment Managers and AI For Alpha Date Posted: 20 Sep 2021 Last Revised: 22 Sep 2021	22,659
3.	Time your hedge with Deep Reinforcement Learning (ICAPS 2020 Presentation Slides) Eric Benhamou, David Saltiel, Sandrine Ungari and Abhishek Mukhopadhyay Université Paris Dauphine, Université Paris Dauphine, Societe Generale and SGCIB Date Posted: 20 Sep 2021 Last Revised: 22 Sep 2021	20,966
4.	Adaptive Supervised Learning for Volatility Targeting Models Eric Benhamou, David Saltiel, Serge Tabachnik, Corentin Bourdeix, François Chareyron and Beatrice Guez Université Paris Dauphine, Université Paris Dauphine, Lombard Odier Investment Managers, Ecole Polytechnique Fédérale de Lausanne, Lombard Odier Investment Managers and AI For Alpha Date Posted: 20 Sep 2021 Last Revised: 12 Oct 2021	20,878
5.	Knowledge discovery with Deep RL for selecting financial hedges (AAAI 2021 KDF Presentation slides) Eric Benhamou, David Saltiel, Sandrine Ungari and Abhishek Mukhopadhyay Université Paris Dauphine, Université Paris Dauphine, Societe Generale and SGCIB Date Posted: 28 Sep 2021 Last Revised: 03 Nov 2021	20,073
6.	Bridging the gap between Markowitz planning and deep reinforcement learning (ICAPS PRL Presentation Slides 2020) Eric Benhamou, David Saltiel, Sandrine Ungari and Abhishek Mukhopadhyay Université Paris Dauphine, Université Paris Dauphine, Societe Generale and SGCIB Date Posted: 25 Oct 2021 Last Revised: 04 Nov 2021	19,490
7.	Decision Transformer: Reinforcement Learning via Sequence Modelling - Paper Review (Presentation Slides) Eric Benhamou Université Paris Dauphine Date Posted: 09 Feb 2022 Last Revised: 10 Feb 2022	17,212
8.	Advances in Financial Machine Learning (Chapter 1) Marcos Lopez de Prado and Marcos Lopez de Prado Cornell University - Operations Research & Industrial EngineeringAbu Dhabi Investment Authority Date Posted: 19 Jan 2018 Last Revised: 19 Jan 2018	13,498
9.	Advances in Financial Machine Learning: Lecture 1/10 (seminar slides) Marcos Lopez de Prado and Marcos Lopez de Prado Cornell University - Operations Research & Industrial EngineeringAbu Dhabi Investment Authority Date Posted: 21 Oct 2018 Last Revised: 29 Jun 2020	11,261
10.	Planning in Financial Markets in Presence of Spikes: Using Machine Learning GBDT Eric Benhamou, Jean-Jacques Ohana, David Saltiel and Beatrice Guez Université Paris Dauphine, AI For Alpha, Université Paris Dauphine and AI For Alpha Date Posted: 17 Jun 2021 Last Revised: 22 Feb 2022	11,069