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Score-based Outlier Generation via Controlling the Radon-Nikodym Derivative

A. Mukherjee, T. Milne, K. Y. C. Lui, S. Hazlewood, and J. Liu. IEEE Conference on Decision and Control, 2026

Investigating Action Embeddings for More Efficient Off-Policy Evaluation

M. Wabartha, K. Wilson, R. David Evans, H. Sharifi, and T. Sylvain. RecSys CONSEQUENCES Workshop, 2025

FACTS: Fast, Accurate, and Privacy-Compliant TableSummarization via Offline Template Generation

Y. Yuan, M. Amin Shabani, and S. Liu. Workshop on Generative AI in Finance at NeurIPS, 2025

ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes

A. Mukherjee, R. Deng, H. Zhao, Y. Mao, and L. Sigal. TMLR, 2026

Test-Time Adaptation for Event Prediction via Lightweight Adapters

S. Grover, *H. Hajimirsadeghi, *Z. Zhang, *E. Smith, and *A. Pashevich. ICLR workshop Catch, Adapt, and Operate: Monitoring ML Models Under Drift Workshop, 2026

SelectLLM – Calibrating LLMs for Selective Prediction: Balancing

Y. Mao, T. Durand, J. He, N. Mehrasa, and M. Ester. NeurIPS workshop ResponsibleFM, 2026

Do LLMs Benefit from User and Item Embeddings in Recommendation Tasks

M. I. R. Hossain, L. Feng, L. Sigal, and M. O. Ahmed. Multimodal Algorithmic Reasoning Workshop at NeurIPS 2025, 2025

Embedding-Based Context-Aware Reranker

Y. Yuan, M. Amin Shabani, and S. Liu. ICLR, 2026

Improving Fairness via Noise Injection in Vision Transformers

Q. Tang, S. Hosseini, M. Zhai, T. Durand, and G. Mori. Algorithmic Fairness Across Alignment Procedures and Agentic Systems (AFAA) Workshop at ICLR 2026, 2026

You Need Reasoning to Learn Reasoning: The Limitations of Label-Free RL in Weak Base Models

S. Roy, H. Hajimirsadeghi, M. Zhai, and G. Samei. The 5th Workshop on Mathematical Reasoning and AI at NeurIPS 2025, 2025

FACTS: Table Summarization via Offline Template Generation with Agentic Workflows

Y. Yuan, M. Amin Shabani, and S. Liu. Association for Computational Linguistics, 2026 Findings

LassoFlexNet: Flexible Neural Architecture for Tabular Data

K. Y. C. Lui, C. Chi, K. Basu, and Y. Cao. International Conference on Machine Learning, 2026