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Publication search results
found 248 matches
- 2023
- Masanori Hirano, Kentaro Minami, Kentaro Imajo:
Adversarial Deep Hedging: Learning to Hedge without Price Process Modeling. ICAIF 2023: 19-26 - Hamed Amini, Zhongyuan Cao, Agnès Sulem:
The Default Cascade Process in Stochastic Financial Networks. ICAIF 2023: 227-234 - Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. ICAIF 2023: 498-506 - Jacopo Bono, Ahmad Naser Eddin, David Aparício, Hugo Ferreira, João Tiago Ascensão, Pedro Ribeiro, Pedro Bizarro:
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs. ICAIF 2023: 176-184 - Francois Buet-Golfouse, Nicholas William David Martin:
Lifting Volterra Diffusions via Kernel Decomposition. ICAIF 2023: 481-489 - Francois Buet-Golfouse, Islam Utyagulov, Parth Pahwa, Peter Hill:
Turbo-Charging Deep Learning Methods for Partial Differential Equations. ICAIF 2023: 150-158 - Zhiyu Cao, Zihan Chen, Prerna Mishra, Hamed Amini, Zachary Feinstein:
Modeling Inverse Demand Function with Explainable Dual Neural Networks. ICAIF 2023: 108-115 - Defu Cao, Yixiang Zheng, Parisa Hassanzadeh, Simran Lamba, Xiaomo Liu, Yan Liu:
Large Scale Financial Time Series Forecasting with Multi-faceted Model. ICAIF 2023: 472-480 - Wenyu Chen, Riade Benbaki, Yada Zhu, Rahul Mazumder:
Dynamic Covariance Estimation under Structural Assumptions via a Joint Optimization Approach. ICAIF 2023: 445-453 - Andy Chung, Kumiko Tanaka-Ishii:
Predictability of Post-Earnings Announcement Drift with Textual and Contextual Factors of Earnings Calls. ICAIF 2023: 401-408 - Andy Chung, Kumiko Tanaka-Ishii:
Modeling Momentum Spillover with Economic Links Discovered from Financial Documents. ICAIF 2023: 490-497 - Andrea Coletta, Joseph Jerome, Rahul Savani, Svitlana Vyetrenko:
Conditional Generators for Limit Order Book Environments: Explainability, Challenges, and Robustness. ICAIF 2023: 27-35 - Niccolò Dalmasso, Renbo Zhao, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Efficient Event Series Data Modeling via First-Order Constrained Optimization. ICAIF 2023: 463-471 - Roberto Daluiso, Marco Pinciroli, Michele Trapletti, Edoardo Vittori:
CVA Hedging with Reinforcement Learning. ICAIF 2023: 261-269 - Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali:
Quantifying Outlierness of Funds from their Categories using Supervised Similarity. ICAIF 2023: 655-663 - Xueying Ding, Nikita Seleznev, Senthil Kumar, C. Bayan Bruss, Leman Akoglu:
From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management. ICAIF 2023: 279-287 - Emmanuel Djanga, Mihai Cucuringu, Chao Zhang:
Cryptocurrency volatility forecasting using commonality in intraday volatility. ICAIF 2023: 436-444 - Xin Du, Kai Moriyama, Kumiko Tanaka-Ishii:
Co-Training Realized Volatility Prediction Model with Neural Distributional Transformation. ICAIF 2023: 418-426 - Joel Dyer, Arnau Quera-Bofarull, Ayush Chopra, J. Doyne Farmer, Anisoara Calinescu, Michael J. Wooldridge:
Gradient-Assisted Calibration for Financial Agent-Based Models. ICAIF 2023: 288-296 - Marcus Jun Rong Foo, Nixie S. Lesmana, Chi Seng Pun:
DRL Trading with CPT Actor and Truncated Quantile Critics. ICAIF 2023: 574-582 - Sascha Yves Frey, Kang Li, Peer Nagy, Silvia Sapora, Christopher Lu, Stefan Zohren, Jakob N. Foerster, Anisoara Calinescu:
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading. ICAIF 2023: 583-591 - Kang Gao, Stephen Weston, Perukrishnen Vytelingum, Namid R. Stillman, Wayne Luk, Ce Guo:
Deeper Hedging: A New Agent-based Model for Effective Deep Hedging. ICAIF 2023: 270-278 - Jesse S. Ghashti, John R. J. Thompson:
The complexity of financial wellness: examining survey patterns via kernel metric learning and clustering of mixed-type data. ICAIF 2023: 314-322 - Soumava Ghosh, Ravi Anand, Tanmoy Bhowmik, Siddhanth Chandrashekhar:
GoSage: Heterogeneous Graph Neural Network Using Hierarchical Attention for Collusion Fraud Detection. ICAIF 2023: 185-192 - Aldo Glielmo, Marco Favorito, Debmallya Chanda, Domenico Delli Gatti:
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs. ICAIF 2023: 305-313 - Sandro Gössi, Ziwei Chen, Wonseong Kim, Bernhard Bermeitinger, Siegfried Handschuh:
FinBERT-FOMC: Fine-Tuned FinBERT Model with Sentiment Focus Method for Enhancing Sentiment Analysis of FOMC Minutes. ICAIF 2023: 357-364 - Jingyi Gu, Wenlu Du, A M. Muntasir Rahman, Guiling Wang:
Margin Trader: A Reinforcement Learning Framework for Portfolio Management with Margin and Constraints. ICAIF 2023: 610-618 - Fadi Hamad, Shinpei Nakamura-Sakai, Saheed Obitayo, Vamsi K. Potluru:
A supervised generative optimization approach for tabular data. ICAIF 2023: 10-18 - Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh:
Sequential Fair Resource Allocation under a Markov Decision Process Framework. ICAIF 2023: 673-680 - David Ricardo Montalvan Hernandez, Cassio de Campos:
Portfolio Optimization via Credal Probabilistic Circuits. ICAIF 2023: 646-654
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