Tucker Balch

121 papers A* 7A 3C 2Misc 3Journal 70Unranked 34
YearRankTypeTitle / Venue / Authors
2026 J jnl
Calibrating Non-Identifiable High-Dimensional Simulation Models: A Framework via Eligibility Set.
ACM Trans. Model. Comput. Simul.
Yuanlu Bai, Tucker Balch, Haoxian Chen, Danial Dervovic, Henry Lam, Svitlana Vyetrenko
2026 J jnl
Deep Reinforcement Learning for Optimal Portfolio Allocation: A Comparative Study with Mean-Variance Optimization.
CoRR
Srijan Sood, Kassiani Papasotiriou, Marius Vaiciulis, Tucker Balch
2025 — conf
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations.
ACL (1)
Gaurav Verma, Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Tucker Balch, Manuela Veloso
2025 A* conf
Auditing and Enforcing Conditional Fairness via Optimal Transport.
AAAI
Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2025 A conf
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls.
UAI
Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2025 — conf
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts.
COLING (Industry)
William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott, Suchetha Siddagangappa, Rachneet Kaur, Tucker Balch, Manuela Veloso
2025 — conf
LETS-C: Leveraging Text Embedding for Time Series Classification.
ACL (1)
Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso
2025 J jnl
TADACap: Time-series Adaptive Domain-Aware Captioning.
CoRR
Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso
2025 J jnl
The Agentic Regulator: Risks for AI in Finance and a Proposed Agent-based Framework for Governance.
CoRR
Eren Kurshan, Tucker Balch, David Byrd
2025 J jnl
Variational Neural Stochastic Differential Equations with Change Points.
Trans. Mach. Learn. Res.
Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker Balch, Svitlana Vyetrenko
2024 J jnl
ABIDES-Economist: Agent-Based Simulation of Economic Systems with Learning Agents.
CoRR
Kshama Dwarakanath, Svitlana Vyetrenko, Peyman Tavallali, Tucker Balch
2024 — conf
AI in Investment Analysis: LLMs for Equity Stock Ratings.
ICAIF
Kassiani Papasotiriou, Srijan Sood, Shayleen Reynolds, Tucker Balch
2024 J jnl
AI in Investment Analysis: LLMs for Equity Stock Ratings.
CoRR
Kassiani Papasotiriou, Srijan Sood, Shayleen Reynolds, Tucker Balch
2024 — conf
AI versus AI in Financial Crimes & Detection: GenAI Crime Waves to Co-Evolutionary AI.
ICAIF
Eren Kurshan, Dhagash Mehta, Tucker Balch
2024 J jnl
AI versus AI in Financial Crimes and Detection: GenAI Crime Waves to Co-Evolutionary AI.
CoRR
Eren Kurshan, Dhagash Mehta, Bayan Bruss, Tucker Balch
2024 J jnl
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations.
CoRR
Gaurav Verma, Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Tucker Balch, Manuela Veloso
2024 A conf
Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy.
AAMAS
Antigoni Polychroniadou, Gabriele Cipriani, Richard Hua, Tucker Balch
2024 J jnl
Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy.
CoRR
Antigoni Polychroniadou, Gabriele Cipriani, Richard Hua, Tucker Balch
2024 J jnl
Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy.
IACR Cryptol. ePrint Arch.
Antigoni Polychroniadou, Gabriele Cipriani, Richard Hua, Tucker Balch
2024 J jnl
Auditing and Enforcing Conditional Fairness via Optimal Transport.
CoRR
Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024 J jnl
Behavioral Sequence Modeling with Ensemble Learning.
CoRR
Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso
2024 J jnl
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls.
CoRR
Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024 J jnl
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models.
CoRR
Yinan Cheng, Chi-hua Wang, Vamsi K. Potluru, Tucker Balch, Guang Cheng
2024 J jnl
Empirical Equilibria in Agent-based Economic systems with Learning agents.
CoRR
Kshama Dwarakanath, Svitlana Vyetrenko, Tucker Balch
2024 J jnl
Ensemble Methods for Sequence Classification with Hidden Markov Models.
CoRR
Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso
2024 A* conf
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark.
EMNLP
Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko
2024 J jnl
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark.
CoRR
Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Svitlana Vyetrenko, Tucker Balch
2024 A* conf
Fair Wasserstein Coresets.
NeurIPS
Zikai Xiong, Niccolò Dalmasso, Shubham Sharma, Freddy Lécué, Daniele Magazzeni, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024 A* conf
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing.
AAAI
Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024 J jnl
FlowMind: Automatic Workflow Generation with LLMs.
CoRR
Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso
2024 J jnl
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting.
CoRR
Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso
2024 J jnl
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies.
CoRR
William Watson, Nicole Cho, Tucker Balch, Manuela Veloso
2024 J jnl
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts.
CoRR
William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott, Suchetha Siddagangappa, Rachneet Kaur, Tucker Balch, Manuela Veloso
2024 J jnl
LETS-C: Leveraging Language Embedding for Time Series Classification.
CoRR
Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso
2024 J jnl
LLM-driven Imitation of Subrational Behavior : Illusion or Reality?
CoRR
Andrea Coletta, Kshama Dwarakanath, Penghang Liu, Svitlana Vyetrenko, Tucker Balch
2024 J jnl
MicroSecAgg: Streamlined Single-Server Secure Aggregation.
Proc. Priv. Enhancing Technol.
Yue Guo, Antigoni Polychroniadou, Elaine Shi, David Byrd, Tucker Balch
2024 C conf
Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-Processing Matters.
IGARSS
Nancy Thomas, Saba Rahimi, Annita Vapsi, Cathy Ansell, Elizabeth Christie, Daniel Borrajo, Tucker Balch, Manuela Veloso
2024 J jnl
Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-processing Matters.
CoRR
Nancy Thomas, Saba Rahimi, Annita Vapsi, Cathy Ansell, Elizabeth Christie, Daniel Borrajo, Tucker Balch, Manuela Veloso
2024 J jnl
Six Levels of Privacy: A Framework for Financial Synthetic Data.
CoRR
Tucker Balch, Vamsi K. Potluru, Deepak Paramanand, Manuela Veloso
2024 J jnl
Synthetic Data Applications in Finance.
CoRR
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
2024 — conf
TADACap: Time-series Adaptive Domain-Aware Captioning.
ICAIF
Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso
2024 J jnl
Transparency as Delayed Observability in Multi-Agent Systems.
CoRR
Kshama Dwarakanath, Svitlana Vyetrenko, Toks Oyebode, Tucker Balch
2024 J jnl
Variational Neural Stochastic Differential Equations with Change Points.
CoRR
Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker Balch, Svitlana Vyetrenko
2023 J jnl
A Model-Based Synthetic Stock Price Time Series Generation Framework.
CoRR
Haibei Zhu, Svitlana Vyetrenko, Tucker Balch
2023 J jnl
ATMS: Algorithmic Trading-Guided Market Simulation.
CoRR
Song Wei, Andrea Coletta, Svitlana Vyetrenko, Tucker Balch
2023 J jnl
An Efficient Data-Independent Priority Queue and its Application to Dark Pools.
IACR Cryptol. ePrint Arch.
Sahar Mazloom, Benjamin E. Diamond, Antigoni Polychroniadou, Tucker Balch
2023 J jnl
An Efficient Data-Independent Priority Queue and its Application to Dark Pools.
Proc. Priv. Enhancing Technol.
Sahar Mazloom, Benjamin E. Diamond, Antigoni Polychroniadou, Tucker Balch
2023 J jnl
Differentially Private Synthetic Data Using KD-Trees.
CoRR
Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023 A conf
Differentially private synthetic data using KD-trees.
UAI
Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023 — conf
Efficient Event Series Data Modeling via First-Order Constrained Optimization.
ICAIF
Niccolò Dalmasso, Renbo Zhao, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023 J jnl
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test.
CoRR
Saba Rahimi, Tucker Balch, Manuela Veloso
2023 J jnl
Fair Wasserstein Coresets.
CoRR
Zikai Xiong, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023 J jnl
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing.
CoRR
Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023 J jnl
Financial Time Series Forecasting using CNN and Transformer.
CoRR
Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Saba Rahimi, Tucker Balch, Manuela Veloso
2023 — conf
FlowMind: Automatic Workflow Generation with LLMs.
ICAIF
Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso
2023 — conf
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting.
ICAIF
Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso
2023 A* conf
HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies.
EMNLP
William Watson, Nicole Cho, Tucker Balch, Manuela Veloso
2023 A* conf
K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs.
ICML
Andrea Coletta, Svitlana Vyetrenko, Tucker Balch
2023 J jnl
K-SHAP: Policy Clustering Algorithm for Anonymous State-Action Pairs.
CoRR
Andrea Coletta, Svitlana Vyetrenko, Tucker Balch
2023 — conf
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections.
ICAIF
Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
2023 J jnl
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections.
CoRR
Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
2023 J jnl
Once Burned, Twice Shy? The Effect of Stock Market Bubbles on Traders that Learn by Experience.
CoRR
Haibei Zhu, Svitlana Vyetrenko, Serafin Grundl, David Byrd, Kshama Dwarakanath, Tucker Balch
2023 Misc conf
Once burned, twice shy? The effect of stock market bubbles on traders that learn by experience.
WSC
Haibei Zhu, Svitlana Vyetrenko, Kshama Dwarakanath, Tucker Balch, Serafin Grundl, David Byrd
2023 A* conf
Prime Match: A Privacy-Preserving Inventory Matching System.
USENIX Security Symposium
Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso
2023 J jnl
Prime Match: A Privacy-Preserving Inventory Matching System.
CoRR
Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso
2023 J jnl
Prime Match: A Privacy-Preserving Inventory Matching System.
IACR Cryptol. ePrint Arch.
Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso
2023 J jnl
Privacy-Preserving Energy-Based Generative Models for Marginal Distribution Protection.
Trans. Mach. Learn. Res.
Robert E. Tillman, Tucker Balch, Manuela Veloso
2023 Misc conf
Transparency As Delayed Observability In Multi-Agent Systems.
WSC
Kshama Dwarakanath, Svitlana Vyetrenko, Tucker Balch, Toks Oyebode
2022 — ed.
3rd ACM International Conference on AI in Finance, ICAIF 2022, New York, NY, USA, November 2-4, 2022
ICAIF
Daniele Magazzeni, Senthil Kumar, Rahul Savani, Renyuan Xu, Carmine Ventre, Blanka Horvath, Ruimeng Hu, Tucker Balch, Francesca Toni
2022 — conf
Addressing Extreme Market Responses Using Secure Aggregation.
ICAIF
Sahar Mazloom, Antigoni Polychroniadou, Tucker Balch
2022 J jnl
CTMSTOU driven markets: simulated environment for regime-awareness in trading policies.
CoRR
Selim Amrouni, Aymeric Moulin, Tucker Balch
2022 — conf
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy.
ICAIF
David Byrd, Vaikkunth Mugunthan, Antigoni Polychroniadou, Tucker Balch
2022 J jnl
Differentially Private Learning of Hawkes Processes.
CoRR
Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2022 — conf
Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization.
ICAIF
Yuanlu Bai, Henry Lam, Tucker Balch, Svitlana Vyetrenko
2022 — conf
Equitable Marketplace Mechanism Design.
ICAIF
Kshama Dwarakanath, Svitlana Vyetrenko, Tucker Balch
2022 J jnl
Equitable Marketplace Mechanism Design.
CoRR
Kshama Dwarakanath, Svitlana S. Vyetrenko, Tucker Balch
2022 J jnl
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe.
CoRR
Renbo Zhao, Niccolò Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2022 — conf
Learning to simulate realistic limit order book markets from data as a World Agent.
ICAIF
Andrea Coletta, Aymeric Moulin, Svitlana Vyetrenko, Tucker Balch
2022 J jnl
Learning to simulate realistic limit order book markets from data as a World Agent.
CoRR
Andrea Coletta, Aymeric Moulin, Svitlana Vyetrenko, Tucker Balch
2022 J jnl
MicroFedML: Privacy Preserving Federated Learning for Small Weights.
IACR Cryptol. ePrint Arch.
Yue Guo, Antigoni Polychroniadou, Elaine Shi, David Byrd, Tucker Balch
2022 — conf
Online Learning for Mixture of Multivariate Hawkes Processes.
ICAIF
Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Tucker Balch, Sameena Shah, Manuela Veloso
2022 J jnl
Online Learning for Mixture of Multivariate Hawkes Processes.
CoRR
Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Sameena Shah, Tucker Balch, Manuela Veloso
2022 — conf
Optimal Stopping with Gaussian Processes.
ICAIF
Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana Vyetrenko, Tucker Balch
2022 J jnl
Optimal Stopping with Gaussian Processes.
CoRR
Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana S. Vyetrenko, Tucker Balch
2022 J jnl
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations.
CoRR
Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso
2021 J jnl
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets.
CoRR
Selim Amrouni, Aymeric Moulin, Jared Vann, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
2021 — conf
ABIDES-gym: gym environments for multi-agent discrete event simulation and application to financial markets.
ICAIF
Selim Amrouni, Aymeric Moulin, Jared Vann, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
2021 J jnl
Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set.
CoRR
Yuanlu Bai, Tucker Balch, Haoxian Chen, Danial Dervovic, Henry Lam, Svitlana Vyetrenko
2021 J jnl
Deep Video Prediction for Time Series Forecasting.
CoRR
Zhen Zeng, Tucker Balch, Manuela Veloso
2021 — conf
Deep video prediction for time series forecasting.
ICAIF
Zhen Zeng, Tucker Balch, Manuela Veloso
2021 J jnl
Efficient Calibration of Multi-Agent Market Simulators from Time Series with Bayesian Optimization.
CoRR
Yuanlu Bai, Henry Lam, Svitlana Vyetrenko, Tucker Balch
2021 J jnl
Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets.
CoRR
Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic
2021 — conf
Learning to classify and imitate trading agents in continuous double auction markets.
ICAIF
Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic
2021 J jnl
Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators.
CoRR
Victor Storchan, Svitlana Vyetrenko, Tucker Balch
2021 — conf
Privacy-preserving portfolio pricing.
ICAIF
Gilad Asharov, Tucker Balch, Antigoni Polychroniadou
2021 J jnl
Profit equitably: An investigation of market maker's impact on equitable outcomes.
CoRR
Kshama Dwarakanath, Svitlana S. Vyetrenko, Tucker Balch
2021 — conf
Profit equitably: an investigation of market maker's impact on equitable outcomes.
ICAIF
Kshama Dwarakanath, Svitlana S. Vyetrenko, Tucker Balch
2021 J jnl
Towards Realistic Market Simulations: a Generative Adversarial Networks Approach.
CoRR
Andrea Coletta, Matteo Prata, Michele Conti, Emanuele Mercanti, Novella Bartolini, Aymeric Moulin, Svitlana Vyetrenko, Tucker Balch
2021 — conf
Towards realistic market simulations: a generative adversarial networks approach.
ICAIF
Andrea Coletta, Matteo Prata, Michele Conti, Emanuele Mercanti, Novella Bartolini, Aymeric Moulin, Svitlana Vyetrenko, Tucker Balch
2021 — conf
Visual time series forecasting: an image-driven approach.
ICAIF
Srijan Sood, Zhen Zeng, Naftali Cohen, Tucker Balch, Manuela Veloso
2020 J jnl
Adversarial Attacks on Machine Learning Systems for High-Frequency Trading.
CoRR
Micah Goldblum, Avi Schwarzschild, Naftali Cohen, Tucker Balch, Ankit B. Patel, Tom Goldstein
2020 — conf
Get real: realism metrics for robust limit order book market simulations.
ICAIF
Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Balch
2020 — ed.
ICAIF '20: The First ACM International Conference on AI in Finance, New York, NY, USA, October 15-16, 2020
ICAIF
Tucker Balch
2020 J jnl
SURF: Improving classifiers in production by learning from busy and noisy end users.
CoRR
Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso
2020 — conf
SURF: improving classifiers in production by learning from busy and noisy end users.
ICAIF
Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso
2020 — conf
SecretMatch: inventory matching from fully homomorphic encryption.
ICAIF
Tucker Balch, Benjamin E. Diamond, Antigoni Polychroniadou
2020 J jnl
Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users.
CoRR
Joshua Lockhart, Samuel Assefa, Tucker Balch, Manuela Veloso
2020 — conf
Trading via image classification.
ICAIF
Naftali Cohen, Tucker Balch, Manuela Veloso
2020 J jnl
Visual Forecasting of Time Series with Image-to-Image Regression.
CoRR
Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso
2019 J jnl
Multiplayer AlphaZero.
CoRR
Nick Petosa, Tucker Balch
2019 J jnl
The Effect of Visual Design in Image Classification.
CoRR
Naftali Cohen, Tucker Balch, Manuela Veloso
2019 J jnl
Trading via Image Classification.
CoRR
Naftali Cohen, Tucker Balch, Manuela Veloso
2018 — conf
Use of position tracking to infer social structure in rhesus macaques.
ACI
Brian Hrolenok, Tucker Balch, David Byrd, Rebecca Roberts, Chanho Kim, James M. Rehg, Scott Gilliland, Kim Wallen
2017 Misc conf
Stockyard: A discrete event-based stock market exchange simulator.
WSC
Jianling Wang, Vivek George, Tucker Balch, Maria Hybinette
2016 J jnl
Improving financial computation speed with full and subproblem memoization.
Concurr. Comput. Pract. Exp.
Alexander Moreno, Tucker Balch
2014 C conf
Inferring Social Structure of Animal Groups from Tracking Data.
ALIFE
Brian Hrolenok, Hanuma Teja Maddali, Michael Misha Novitzky, Tucker Balch
2014 — conf
Speeding up large-scale financial recomputation with memoization.
WHPCF@SC
Alexander Moreno, Tucker Balch
2006 — conf
A Distributed Multi-robot Cooperation Framework for Real Time Task Achievement.
DARS
Sanem Sariel, Tucker Balch
2006 — conf
Empirical Evaluation of Auction-Based Coordination of AUVs in a Realistic Simulated Mine Countermeasure Task.
DARS
Sanem Sariel, Tucker Balch, Jason R. Stack
2004 — conf
Value-Based Communication Preservation for Mobile Robots.
DARS
Matthew Powers, Tucker Balch
1997 — conf
Design and implementation of a teleautonomous hummer.
Mobile Robots
Darrin C. Bentivegna, Kahled S. Ali, Ronald C. Arkin, Tucker Balch