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2020 – today
- 2023
[i19]Andrea Coletta, Svitlana Vyetrenko, Tucker Balch:
K-SHAP: Policy Clustering Algorithm for Anonymous State-Action Pairs. CoRR abs/2302.11996 (2023)- 2022
- [c13]Kshama Dwarakanath, Svitlana Vyetrenko, Tucker Balch:
Equitable Marketplace Mechanism Design. ICAIF 2022: 232-239 - [c12]Andrea Coletta, Aymeric Moulin, Svitlana Vyetrenko, Tucker Balch:
Learning to simulate realistic limit order book markets from data as a World Agent. ICAIF 2022: 428-436 - [c11]Yuanlu Bai, Henry Lam, Tucker Balch, Svitlana Vyetrenko:
Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization. ICAIF 2022: 437-445 - [c10]Yousef El-Laham, Svitlana Vyetrenko:
StyleTime: Style Transfer for Synthetic Time Series Generation. ICAIF 2022: 489-496 - [c9]Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana Vyetrenko, Tucker Balch:
Optimal Stopping with Gaussian Processes. ICAIF 2022: 497-505 - [i18]Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Alexandros Iosifidis, Svitlana Vyetrenko:
HyperTime: Implicit Neural Representation for Time Series. CoRR abs/2208.05836 (2022) - [i17]Yousef El-Laham, Svitlana Vyetrenko:
StyleTime: Style Transfer for Synthetic Time Series Generation. CoRR abs/2209.11306 (2022) - [i16]Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana S. Vyetrenko, Tucker Balch:
Optimal Stopping with Gaussian Processes. CoRR abs/2209.14738 (2022) - [i15]Kshama Dwarakanath, Svitlana S. Vyetrenko, Tucker Balch:
Equitable Marketplace Mechanism Design. CoRR abs/2209.15418 (2022) - [i14]Penghang Liu, Kshama Dwarakanath, Svitlana S. Vyetrenko:
Biased or Limited: Modeling Sub-Rational Human Investors in Financial Markets. CoRR abs/2210.08569 (2022) - [i13]Andrea Coletta, Aymeric Moulin, Svitlana Vyetrenko, Tucker Balch:
Learning to simulate realistic limit order book markets from data as a World Agent. CoRR abs/2210.09897 (2022) - [i12]Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu:
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift. CoRR abs/2211.11513 (2022) - 2021
- [c8]Kshama Dwarakanath, Svitlana S. Vyetrenko, Tucker Balch:
Profit equitably: an investigation of market maker's impact on equitable outcomes. ICAIF 2021: 4:1-4:8 - [c7]Selim Amrouni, Aymeric Moulin, Jared Vann, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
ABIDES-gym: gym environments for multi-agent discrete event simulation and application to financial markets. ICAIF 2021: 30:1-30:9 - [c6]Andrea Coletta, Matteo Prata, Michele Conti, Emanuele Mercanti, Novella Bartolini, Aymeric Moulin, Svitlana Vyetrenko, Tucker Balch:
Towards realistic market simulations: a generative adversarial networks approach. ICAIF 2021: 46:1-46:9 - [i11]Yuanlu Bai, Tucker Balch, Haoxian Chen, Danial Dervovic, Henry Lam, Svitlana Vyetrenko:
Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set. CoRR abs/2105.12893 (2021) - [i10]Diego Pino, Javier García, Fernando Fernández, Svitlana Vyetrenko:
Similarity metrics for Different Market Scenarios in Abides. CoRR abs/2107.09352 (2021) - [i9]Victor Storchan, Svitlana Vyetrenko, Tucker Balch:
Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators. CoRR abs/2108.00664 (2021) - [i8]Andrea Coletta, Matteo Prata, Michele Conti, Emanuele Mercanti, Novella Bartolini, Aymeric Moulin, Svitlana Vyetrenko, Tucker Balch:
Towards Realistic Market Simulations: a Generative Adversarial Networks Approach. CoRR abs/2110.13287 (2021) - [i7]Selim Amrouni, Aymeric Moulin, Jared Vann, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets. CoRR abs/2110.14771 (2021) - [i6]Kshama Dwarakanath, Svitlana S. Vyetrenko, Tucker Balch:
Profit equitably: An investigation of market maker's impact on equitable outcomes. CoRR abs/2111.00094 (2021) - [i5]Yuanlu Bai, Henry Lam, Svitlana Vyetrenko, Tucker Balch:
Efficient Calibration of Multi-Agent Market Simulators from Time Series with Bayesian Optimization. CoRR abs/2112.03874 (2021) - 2020
- [c5]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
2010 – 2019
- 2019
- [i4]Svitlana Vyetrenko, Shaojie Xu:
Risk-Sensitive Compact Decision Trees for Autonomous Execution in Presence of Simulated Market Response. CoRR abs/1906.02312 (2019) - [i3]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) - 2011
- [j1]Theodoros K. Dikaliotis, Tracey Ho, Sidharth Jaggi, Svitlana Vyetrenko, Hongyi Yao, Michelle Effros, Jörg Kliewer, Elona Erez:
Multiple-Access Network Information-Flow and Correction Codes. IEEE Trans. Inf. Theory 57(2): 1067-1079 (2011) - [c4]Ömer Faruk Tekin, Svitlana Vyetrenko, Tracey Ho, Hongyi Yao:
Erasure correction for nested receivers. Allerton 2011: 1454-1461 - [c3]Tracey Ho, Sidharth Jaggi, Svitlana Vyetrenko, Lingxiao Xia:
Universal and robust distributed network codes. INFOCOM 2011: 766-774 - 2010
- [i2]Tracey Ho, Sidharth Jaggi, Svitlana Vyetrenko, Lingxiao Xia:
Universal and Robust Distributed Network Codes. CoRR abs/1008.0045 (2010) - [i1]Theodoros K. Dikaliotis, Tracey Ho, Sidharth Jaggi, Svitlana Vyetrenko, Hongyi Yao, Michelle Effros, Jörg Kliewer, Elona Erez:
Multiple-access Network Information-flow and Correction Codes. CoRR abs/1012.0112 (2010)
2000 – 2009
- 2009
- [c2]Svitlana Vyetrenko, Tracey Ho, Elona Erez:
On noncoherent correction of network errors and erasures with random locations. ISIT 2009: 996-1000 - [c1]Svitlana Vyetrenko, Tracey Ho, Michelle Effros, Jörg Kliewer, Elona Erez:
Rate rRegions for coherent and noncoherent multisource network error correction. ISIT 2009: 1001-1005
Coauthor Index
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last updated on 2023-03-07 23:03 CET by the dblp team
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