Michael Wellman
University of Michigan, Strategic Modeling of Fraud on the Payments Network
Chenhao Tan
University of Chicago, Generating Multimodal Explanations for Financial Decisions
Nihar Shah
Carnegie Mellon University, Outsourcing Development of Fraud-Detection AI while Preserving Data Privacy
Furong Huang
University of Maryland, Repelling Security Vulnerabilities in AI-augmented Financial Decision-Making Systems
Daniel Wichs
Northeastern University, Private Information Retrieval and Secure Computation over Big Data
Leandros Tassiulas
Yale University, Combining DeFi and AI for Intelligent DeFi applications
Charalampos Papamanthou
Yale University, New Zero-Knowledge Arguments for Cryptocurrencies
Jun-Yan Zhu
Carnegie Mellon University, Large-Scale Dataset Distillation for Privacy-Preserving Machine Learning
Abhishek Jain
Johns Hopkins Univeresity, Crowd-Sourced Secure Machine Learning
Elaine Shi
Carnegie Mellon University, Scaling Privacy-Preserving AI to Big Data
Yevgeniy Dodis
New York University, Privacy and Integrity in the Web3
Muthuramakrishnan Venkitasubramaniam
Georgetown University, Lightweight Publicly Verifiable Distributed Privacy-Preserving Machine Learning
Steven Wu
Carnegie Mellon University, Advancing Privacy-Preserving Data Sharing with Synthetic Data Generation
Alessandro Abate
University of Oxford, Learning and Reasoning in Repeated Games with Partial Information
Dorsa Sadigh
Stanford University, Fair Gifting for Emergent Prosociality in Multi-Agent Coordination
Renyuan Xu
University of Southern Californi, Mean-field approximation for multi-agent systems: towards scalable AI-driven decision-making and simulation methods in financial markets
Judong Li
University of Virginia, Counterfactual Graph Generation for Explaining Financial Decisions
Alexandros Iosifidis
Aarhus University, Bayesian Learning of Deep Neural Networks for financial time-series and graph data analysis with class-imbalance
Paul Goldberg
University of Oxford, Price discovery via decentralised networks of trading agents
Mohammad M Ghassemi
Michigan State University, The Evolution of Private Capital Modeled as a Temporal Hyper-Graph
Himabindu Lakkaraju
Harvard University, Understanding and Mitigating Privacy Risks of Algorithmic Recourse
Lin Tan
Purdue University, Domain-specific Neural Networks for Improving Code Quality and Productivity
Zachary Lipton
Carnegie Mellon University, Interactive and Trustworthy Neural Summarization
Quanquan Gu
University of California, Los Angeles, Multi-Objective and Causal Reinforcement Learning for Responsible and Explainable AI in Finance
Chien-Ju-Ho
Washington University in St. Louis, Forming Representative Cohorts: Sequential Recruitment under Uncertainty
Gilad Asharov
Bar-Ilan University, FinSec: Secure Analytics over Financial Data
Xiaodan Zhu
Department of Electrical and Computer Engineering, Queen's University, Exploring Robust Reasoning Models for Financial Text
Vukosi Marivate
University of Pretoria, Topic classification modelling of code-mixed and code-switched language for low-resource South African languages
Sarit Kraus
Bar Ilan University, Explanations of AI-Based Resource Allocations
William Yeoh
Washington University in St. Louis, Improving Client Experience Through Goal Recognition and Explainable Assistance in Adaptive Systems
Pradeep Ravikumar
Carnegie Mellon University, Inferring Latent Causal Factors of Client Behavior
Jiajun Wu
Stanford University, Machine Visual Interpretation, Optimization, and Synthesis of Cognitive Workflows
Lingjia Tang
University of Michigan, Towards Personalized Intelligence at Scale
Vinayak Abrol
Indraprastha Institute of Technology Delhi, Sampling Rate Independent Descriptors for Improving Speech Data Analytics
Monica Lam
Stanford University, Neural, Self-Learning, Mixed-Initiative Conversational Assistants
David Byrd
Bowdoin College, Multi-Agent Market Simulation to Reduce Inadvertent Adoption of Malappropriate Behaviors in Intelligent Trading Algorithms
Odest Chadwicke Jenkins
University of Michigan, Semantic Frame Mapping for Building-wide Perception and Affordance Execution