Shelby Heinecke
Shelby Heinecke
Salesforce Research
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Deconfounded causal collaborative filtering
S Xu, J Tan, S Heinecke, VJ Li, Y Zhang
ACM Transactions on Recommender Systems, 2021
Crowdsourced PAC learning under classification noise
S Heinecke, L Reyzin
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019
Dynamic causal collaborative filtering
S Xu, J Tan, Z Fu, J Ji, S Heinecke, Y Zhang
Proceedings of the 31st ACM International Conference on Information …, 2022
Rgrecsys: A toolkit for robustness evaluation of recommender systems
Z Ovaisi, S Heinecke, J Li, Y Zhang, E Zheleva, C Xiong
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
Retroformer: Retrospective large language agents with policy gradient optimization
W Yao, S Heinecke, JC Niebles, Z Liu, Y Feng, L Xue, R Murthy, Z Chen, ...
arXiv preprint arXiv:2308.02151, 2023
Combining data-driven supervision with human-in-the-loop feedback for entity resolution
W Yin, S Heinecke, J Li, NS Keskar, M Jones, S Shi, S Georgiev, K Milich, ...
arXiv preprint arXiv:2111.10497, 2021
Communication-aware collaborative learning
A Blum, S Heinecke, L Reyzin
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6786-6793, 2021
BOLAA: Benchmarking and orchestrating LLM-augmented autonomous agents
Z Liu, W Yao, J Zhang, L Xue, S Heinecke, R Murthy, Y Feng, Z Chen, ...
arXiv preprint arXiv:2308.05960, 2023
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training
Z Fan, Z Liu, S Heinecke, J Zhang, H Wang, C Xiong, PS Yu
arXiv preprint arXiv:2305.07633, 2023
On the resilience of bipartite networks
S Heinecke, W Perkins, L Reyzin
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
REX: Rapid Exploration and eXploitation for AI Agents
R Murthy, S Heinecke, JC Niebles, Z Liu, L Xue, W Yao, Y Feng, Z Chen, ...
arXiv preprint arXiv:2307.08962, 2023
Tackling data heterogeneity in federated learning with class prototypes
Y Dai, Z Chen, J Li, S Heinecke, L Sun, R Xu
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7314-7322, 2023
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System
J Zhang, S Roller, K Qian, Z Liu, R Meng, S Heinecke, H Wang, ...
arXiv preprint arXiv:2308.08169, 2023
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
J Zhang, K Qian, Z Liu, S Heinecke, R Meng, Y Liu, Z Yu, S Savarese, ...
arXiv preprint arXiv:2307.10172, 2023
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training
J Tan, S Heinecke, Z Liu, Y Chen, Y Zhang, H Wang
arXiv preprint arXiv:2304.05492, 2023
On the Unlikelihood of D-Separation
I Feigenbaum, H Wang, S Heinecke, JC Niebles, W Yao, C Xiong, D Arpit
arXiv preprint arXiv:2303.05628, 2023
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data
D Arpit, M Fernandez, C Liu, W Yao, W Yang, P Josel, S Heinecke, E Hu, ...
arXiv preprint arXiv:2301.10859, 2023
Resilient Structures and Robust Machine Learning Algorithms
SL Heinecke
University of Illinois at Chicago, 2020
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Artikkelit 1–18