Tucker Balch

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 88

Top Topics

Simulation Models

Cooperative Game

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch
Synthetic Data Applications in Finance. CoRR (2024)
Antigoni Polychroniadou, Gabriele Cipriani, Richard Hua, Tucker Balch
Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy. CoRR (2024)
Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. AAAI (2024)
Antigoni Polychroniadou, Gabriele Cipriani, Richard Hua, Tucker Balch
Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy. IACR Cryptol. ePrint Arch. 2024 (2024)
Yinan Cheng, Chi-Hua Wang, Vamsi K. Potluru, Tucker Balch, Guang Cheng
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models. CoRR (2024)
Antigoni Polychroniadou, Gabriele Cipriani, Richard Hua, Tucker Balch
Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy. AAMAS (2024)
Kshama Dwarakanath, Svitlana Vyetrenko, Toks Oyebode, Tucker Balch
Transparency as Delayed Observability in Multi-Agent Systems. CoRR (2024)
Tucker Balch, Vamsi K. Potluru, Deepak Paramanand, Manuela Veloso
Six Levels of Privacy: A Framework for Financial Synthetic Data. CoRR (2024)
Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso
LETS-C: Leveraging Language Embedding for Time Series Classification. CoRR (2024)
Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso
FlowMind: Automatic Workflow Generation with LLMs. CoRR (2024)
Andrea Coletta, Kshama Dwarakanath, Penghang Liu, Svitlana Vyetrenko, Tucker Balch
LLM-driven Imitation of Subrational Behavior : Illusion or Reality? CoRR (2024)
William Watson, Nicole Cho, Tucker Balch, Manuela Veloso
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies. CoRR (2024)
Yue Guo, Antigoni Polychroniadou, Elaine Shi, David Byrd, Tucker Balch
MicroSecAgg: Streamlined Single-Server Secure Aggregation. Proc. Priv. Enhancing Technol. 2024 (3) (2024)
Kshama Dwarakanath, Svitlana Vyetrenko, Peyman Tavallali, Tucker Balch
ABIDES-Economist: Agent-Based Simulation of Economic Systems with Learning Agents. CoRR (2024)
Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. CoRR (2024)
Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Svitlana Vyetrenko, Tucker Balch
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. CoRR (2024)
Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. CoRR (2024)
Haibei Zhu, Svitlana Vyetrenko, Tucker Balch
A Model-Based Synthetic Stock Price Time Series Generation Framework. CoRR (2023)
Andrea Coletta, Svitlana Vyetrenko, Tucker Balch
K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs. ICML (2023)
Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. ICAIF (2023)
Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso
FlowMind: Automatic Workflow Generation with LLMs. ICAIF (2023)
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)
William Watson, Nicole Cho, Tucker Balch, Manuela Veloso
HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies. EMNLP (2023)
Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso
Prime Match: A Privacy-Preserving Inventory Matching System. IACR Cryptol. ePrint Arch. 2023 (2023)
Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Differentially private synthetic data using KD-trees. UAI (2023)
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)
Sahar Mazloom, Benjamin E. Diamond, Antigoni Polychroniadou, Tucker Balch
An Efficient Data-Independent Priority Queue and its Application to Dark Pools. Proc. Priv. Enhancing Technol. 2023 (2) (2023)
Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Differentially Private Synthetic Data Using KD-Trees. CoRR (2023)
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)
Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. CoRR (2023)
Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso
Prime Match: A Privacy-Preserving Inventory Matching System. USENIX Security Symposium (2023)
Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Saba Rahimi, Tucker Balch, Manuela Veloso
Financial Time Series Forecasting using CNN and Transformer. CoRR (2023)
Song Wei, Andrea Coletta, Svitlana Vyetrenko, Tucker Balch
ATMS: Algorithmic Trading-Guided Market Simulation. CoRR (2023)
Kshama Dwarakanath, Svitlana Vyetrenko, Tucker Balch, Toks Oyebode
Transparency As Delayed Observability In Multi-Agent Systems. WSC (2023)
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 (2023)
Saba Rahimi, Tucker Balch, Manuela Veloso
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test. CoRR (2023)
Robert E. Tillman, Tucker Balch, Manuela Veloso
Privacy-Preserving Energy-Based Generative Models for Marginal Distribution Protection. Trans. Mach. Learn. Res. 2023 (2023)
Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso
Prime Match: A Privacy-Preserving Inventory Matching System. CoRR (2023)
Sahar Mazloom, Benjamin E. Diamond, Antigoni Polychroniadou, Tucker Balch
An Efficient Data-Independent Priority Queue and its Application to Dark Pools. IACR Cryptol. ePrint Arch. 2023 (2023)
Andrea Coletta, Svitlana Vyetrenko, Tucker Balch
K-SHAP: Policy Clustering Algorithm for Anonymous State-Action Pairs. CoRR (2023)
Zikai Xiong, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Fair Wasserstein Coresets. CoRR (2023)
Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. CoRR (2023)
Kshama Dwarakanath, Svitlana S. Vyetrenko, Tucker Balch
Equitable Marketplace Mechanism Design. CoRR (2022)
Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana S. Vyetrenko, Tucker Balch
Optimal Stopping with Gaussian Processes. CoRR (2022)
Selim Amrouni, Aymeric Moulin, Tucker Balch
CTMSTOU driven markets: simulated environment for regime-awareness in trading policies. CoRR (2022)
Sahar Mazloom, Antigoni Polychroniadou, Tucker Balch
Addressing Extreme Market Responses Using Secure Aggregation. ICAIF (2022)
Kshama Dwarakanath, Svitlana Vyetrenko, Tucker Balch
Equitable Marketplace Mechanism Design. ICAIF (2022)
Renbo Zhao, Niccolò Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe. CoRR (2022)
Andrea Coletta, Aymeric Moulin, Svitlana Vyetrenko, Tucker Balch
Learning to simulate realistic limit order book markets from data as a World Agent. ICAIF (2022)
Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana Vyetrenko, Tucker Balch
Optimal Stopping with Gaussian Processes. ICAIF (2022)
Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Sameena Shah, Tucker Balch, Manuela Veloso
Online Learning for Mixture of Multivariate Hawkes Processes. CoRR (2022)
Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Tucker Balch, Sameena Shah, Manuela Veloso
Online Learning for Mixture of Multivariate Hawkes Processes. ICAIF (2022)
David Byrd, Vaikkunth Mugunthan, Antigoni Polychroniadou, Tucker Balch
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy. ICAIF (2022)
Yue Guo, Antigoni Polychroniadou, Elaine Shi, David Byrd, Tucker Balch
MicroFedML: Privacy Preserving Federated Learning for Small Weights. IACR Cryptol. ePrint Arch. 2022 (2022)
Andrea Coletta, Aymeric Moulin, Svitlana Vyetrenko, Tucker Balch
Learning to simulate realistic limit order book markets from data as a World Agent. CoRR (2022)
Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. CoRR (2022)
Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Differentially Private Learning of Hawkes Processes. CoRR (2022)
Yuanlu Bai, Henry Lam, Tucker Balch, Svitlana Vyetrenko
Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization. ICAIF (2022)
Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic
Learning to classify and imitate trading agents in continuous double auction markets. ICAIF (2021)
Zhen Zeng, Tucker Balch, Manuela Veloso
Deep video prediction for time series forecasting. ICAIF (2021)
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 (2021)
Yuanlu Bai, Henry Lam, Svitlana Vyetrenko, Tucker Balch
Efficient Calibration of Multi-Agent Market Simulators from Time Series with Bayesian Optimization. CoRR (2021)
Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso
Visual Time Series Forecasting: An Image-driven Approach. CoRR (2021)
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)
Srijan Sood, Zhen Zeng, Naftali Cohen, Tucker Balch, Manuela Veloso
Visual time series forecasting: an image-driven approach. ICAIF (2021)
Gilad Asharov, Tucker Balch, Antigoni Polychroniadou
Privacy-preserving portfolio pricing. ICAIF (2021)
Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic
Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets. CoRR (2021)
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 (2021)
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 (2021)
Kshama Dwarakanath, Svitlana S. Vyetrenko, Tucker Balch
Profit equitably: An investigation of market maker's impact on equitable outcomes. CoRR (2021)
Kshama Dwarakanath, Svitlana S. Vyetrenko, Tucker Balch
Profit equitably: an investigation of market maker's impact on equitable outcomes. ICAIF (2021)
Zhen Zeng, Tucker Balch, Manuela Veloso
Deep Video Prediction for Time Series Forecasting. CoRR (2021)
Yuanlu Bai, Tucker Balch, Haoxian Chen, Danial Dervovic, Henry Lam, Svitlana Vyetrenko
Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set. CoRR (2021)
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)
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)
Tucker Balch, Benjamin E. Diamond, Antigoni Polychroniadou
SecretMatch: inventory matching from fully homomorphic encryption. ICAIF (2020)
Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso
Visual Forecasting of Time Series with Image-to-Image Regression. CoRR (2020)
Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso
SURF: improving classifiers in production by learning from busy and noisy end users. ICAIF (2020)
Micah Goldblum, Avi Schwarzschild, Naftali Cohen, Tucker Balch, Ankit B. Patel, Tom Goldstein
Adversarial Attacks on Machine Learning Systems for High-Frequency Trading. CoRR (2020)
Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso
SURF: Improving classifiers in production by learning from busy and noisy end users. CoRR (2020)
Naftali Cohen, Tucker Balch, Manuela Veloso
Trading via image classification. ICAIF (2020)
Joshua Lockhart, Samuel Assefa, Tucker Balch, Manuela Veloso
Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users. CoRR (2020)
Nick Petosa, Tucker Balch
Multiplayer AlphaZero. CoRR (2019)
Naftali Cohen, Tucker Balch, Manuela Veloso
The Effect of Visual Design in Image Classification. CoRR (2019)
Naftali Cohen, Tucker Balch, Manuela Veloso
Trading via Image Classification. CoRR (2019)
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)
Jianling Wang, Vivek George, Tucker Balch, Maria Hybinette
Stockyard: A discrete event-based stock market exchange simulator. WSC (2017)
Alexander Moreno, Tucker Balch
Improving financial computation speed with full and subproblem memoization. Concurr. Comput. Pract. Exp. 28 (3) (2016)
Alexander Moreno, Tucker Balch
Speeding up large-scale financial recomputation with memoization. WHPCF@SC (2014)
Brian Hrolenok, Hanuma Teja Maddali, Michael Misha Novitzky, Tucker Balch
Inferring Social Structure of Animal Groups from Tracking Data. ALIFE (2014)
Sanem Sariel, Tucker Balch
A Distributed Multi-robot Cooperation Framework for Real Time Task Achievement. DARS (2006)
Sanem Sariel, Tucker Balch, Jason R. Stack
Empirical Evaluation of Auction-Based Coordination of AUVs in a Realistic Simulated Mine Countermeasure Task. DARS (2006)
Matthew Powers, Tucker Balch
Value-Based Communication Preservation for Mobile Robots. DARS (2004)
Darrin C. Bentivegna, Kahled S. Ali, Ronald C. Arkin, Tucker Balch
Design and implementation of a teleautonomous hummer. Mobile Robots (1997)