Rossi, Ryan A.

33 publications

ICLR 2025 A Large-Scale Training Paradigm for Graph Generative Models Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr

AISTATS 2025 Causal Discovery-Driven Change Point Detection in Time Series Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu

TMLR 2025 CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra

ECML-PKDD 2025 Few-Shot Graph Out-of-Distribution Detection with LLMs Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao

ICML 2025 Fully Dynamic Embedding into $\ell_p$ Spaces Kiarash Banihashem, Xiang Chen, Mohammadtaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu

ICML 2025 NoLiMa: Long-Context Evaluation Beyond Literal Matching Ali Modarressi, Hanieh Deilamsalehy, Franck Dernoncourt, Trung Bui, Ryan A. Rossi, Seunghyun Yoon, Hinrich Schuetze

AAAI 2025 Numerical Pruning for Efficient Autoregressive Models Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu

NeurIPS 2025 Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization Subhojyoti Mukherjee, Viet Dac Lai, Raghavendra Addanki, Ryan A. Rossi, Seunghyun Yoon, Trung Bui, Anup Rao, Jayakumar Subramanian, Branislav Kveton

TMLR 2025 Personalization of Large Language Models: A Survey Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang

ICLR 2025 SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun

ICLR 2025 Towards Optimal Multi-Draft Speculative Decoding Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang

ICLRW 2025 WaterFlow: Learning Fast & Robust Watermarks Using Stable Diffusion Vinay Shukla, Prachee Sharma, Ryan A. Rossi, Sungchul Kim, Tong Yu, Aditya Grover

ICML 2024 Continuous Treatment Effects with Surrogate Outcomes Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward Kennedy

ICML 2024 Editing Partially Observable Networks via Graph Diffusion Models Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra

ICLR 2024 Forward Learning of Graph Neural Networks Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed

AAAI 2024 Knowledge Graph Prompting for Multi-Document Question Answering Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr

ICMLW 2024 Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data Younghun Lee, Sungchul Kim, Ryan A. Rossi, Tong Yu, Xiang Chen

ICML 2024 On Mechanistic Knowledge Localization in Text-to-Image Generative Models Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I Morariu, Nanxuan Zhao, Ryan A. Rossi, Varun Manjunatha, Soheil Feizi

JMLR 2024 Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao

ICLR 2024 ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang

ICML 2023 A Model-Free Closeness-of-Influence Test for Features in Supervised Learning Mohammad Mehrabi, Ryan A. Rossi

ICLR 2023 Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron N Musco

ICLR 2023 MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning Namyong Park, Ryan A. Rossi, Nesreen Ahmed, Christos Faloutsos

ICML 2022 One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen Ahmed

ICML 2021 Asymptotics of Ridge Regression in Convolutional Models Mojtaba Sahraee-Ardakan, Tung Mai, Anup Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K Fletcher

ICML 2021 Fundamental Tradeoffs in Distributionally Adversarial Training Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup Rao, Tung Mai

AAAI 2021 Graph Neural Networks with Heterophily Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra

COLT 2021 Machine Unlearning via Algorithmic Stability Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora

JMLR 2020 Ensemble Learning for Relational Data Hoda Eldardiry, Jennifer Neville, Ryan A. Rossi

ECML-PKDD 2019 Node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra

AAAI 2016 Toward Interactive Relational Learning Ryan A. Rossi, Rong Zhou

AAAI 2015 The Network Data Repository with Interactive Graph Analytics and Visualization Ryan A. Rossi, Nesreen K. Ahmed

JAIR 2012 Transforming Graph Data for Statistical Relational Learning Ryan A. Rossi, Luke K. McDowell, David William Aha, Jennifer Neville