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Tucker R. Balch
- > Home > Persons > Tucker R. Balch
Publications
- 2023
- [c94]Haibei Zhu, Svitlana Vyetrenko, Kshama Dwarakanath, Tucker Balch, Serafin Grundl, David Byrd:
Once burned, twice shy? The effect of stock market bubbles on traders that learn by experience. WSC 2023: 291-302 - [i33]Haibei Zhu, Svitlana Vyetrenko, Serafin Grundl, David Byrd, Kshama Dwarakanath, Tucker Balch:
Once Burned, Twice Shy? The Effect of Stock Market Bubbles on Traders that Learn by Experience. CoRR abs/2312.17472 (2023) - 2022
- [c93]David Byrd, Vaikkunth Mugunthan, Antigoni Polychroniadou, Tucker Balch:
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy. ICAIF 2022: 114-122 - [i29]David Byrd, Vaikkunth Mugunthan, Antigoni Polychroniadou, Tucker Hybinette Balch:
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy. CoRR abs/2202.09897 (2022) - [i21]Yue Guo, Antigoni Polychroniadou, Elaine Shi, David Byrd, Tucker Balch:
MicroFedML: Privacy Preserving Federated Learning for Small Weights. IACR Cryptol. ePrint Arch. 2022: 714 (2022) - 2021
- [c79]Megan Shearer, David Byrd, Tucker Hybinette Balch, Michael P. Wellman:
Stability effects of arbitrage in exchange traded funds: an agent-based model. ICAIF 2021: 49:1-49:9 - 2020
- [c77]Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Balch:
Get real: realism metrics for robust limit order book market simulations. ICAIF 2020: 2:1-2:8 - [c73]David Byrd, Maria Hybinette, Tucker Hybinette Balch:
ABIDES: Towards High-Fidelity Multi-Agent Market Simulation. SIGSIM-PADS 2020: 11-22 - 2019
- [i8]David Byrd, Maria Hybinette, Tucker Hybinette Balch:
ABIDES: Towards High-Fidelity Market Simulation for AI Research. CoRR abs/1904.12066 (2019) - [i7]Tucker Hybinette Balch, Mahmoud Mahfouz, Joshua Lockhart, Maria Hybinette, David Byrd:
How to Evaluate Trading Strategies: Single Agent Market Replay or Multiple Agent Interactive Simulation? CoRR abs/1906.12010 (2019) - [i4]David Byrd, Tucker Hybinette Balch:
Intra-day Equity Price Prediction using Deep Learning as a Measure of Market Efficiency. CoRR abs/1908.08168 (2019) - [i2]Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Hybinette Balch:
Get Real: Realism Metrics for Robust Limit Order Book Market Simulations. CoRR abs/1912.04941 (2019) - 2018
- [c72]Brian Hrolenok, Tucker Balch, David Byrd, Rebecca Roberts, Chanho Kim, James M. Rehg, Scott Gilliland, Kim Wallen:
Use of position tracking to infer social structure in rhesus macaques. ACI 2018: 15:1-15:5
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