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Shelby Heinecke
Shelby Heinecke
Salesforce Research
Verified email at salesforce.com - Homepage
Title
Cited by
Cited by
Year
Deconfounded causal collaborative filtering
S Xu, J Tan, S Heinecke, VJ Li, Y Zhang
ACM Transactions on Recommender Systems 1 (4), 1-25, 2023
362023
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
352023
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
262023
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
182022
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
172023
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
152022
Crowdsourced PAC learning under classification noise
S Heinecke, L Reyzin
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019
142019
Drdt: Dynamic reflection with divergent thinking for llm-based sequential recommendation
Y Wang, Z Liu, J Zhang, W Yao, S Heinecke, PS Yu
arXiv preprint arXiv:2312.11336, 2023
82023
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
Proceedings of the 32nd ACM International Conference on Information and …, 2023
62023
Communication-aware collaborative learning
A Blum, S Heinecke, L Reyzin
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6786-6793, 2021
52021
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
42023
Towards more robust and accurate sequential recommendation with cascade-guided adversarial training
J Tan, S Heinecke, Z Liu, Y Chen, Y Zhang, H Wang
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024
32024
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
32023
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
32021
On the resilience of bipartite networks
S Heinecke, W Perkins, L Reyzin
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
22018
Editing Arbitrary Propositions in LLMs without Subject Labels
I Feigenbaum, D Arpit, H Wang, S Heinecke, JC Niebles, W Yao, C Xiong, ...
arXiv preprint arXiv:2401.07526, 2024
12024
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
12023
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data
D Arpit, M Fernandez, I Feigenbaum, W Yao, C Liu, W Yang, P Josel, ...
arXiv preprint arXiv:2301.10859, 2023
12023
Causal Layering via Conditional Entropy
I Feigenbaum, D Arpit, S Heinecke, JC Niebles, W Yao, C Xiong, ...
Causal Learning and Reasoning, 1176-1191, 2024
2024
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
J Zhang, T Lan, R Murthy, Z Liu, W Yao, J Tan, T Hoang, L Yang, Y Feng, ...
arXiv preprint arXiv:2402.15506, 2024
2024
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