% Key papers for Cold-start recommendation models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2017_a_105705,
  title = {{A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10747},
}

@inproceedings{aaai2016_stellar_104743,
  title = {{STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/9986},
}

@inproceedings{aaai2016_inferring_104751,
  title = {{Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/9994},
}

@inproceedings{neurips2017_dropoutnet_56266,
  title = {{DropoutNet: Addressing Cold Start in Recommender Systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9272},
}

@inproceedings{iclr2020_sequential_29489,
  title = {{Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=Hke0K1HKwr},
}

@inproceedings{icml2019_doubly_37313,
  title = {{Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3717},
}

@inproceedings{aaai2016_learning_104756,
  title = {{Learning the Preferences of Ignorant, Inconsistent Agents}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10010},
}

@inproceedings{aaai2020_intention_102231,
  title = {{Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6093},
}

@inproceedings{aaai2016_recommending_104988,
  title = {{Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10160},
}

@inproceedings{aaai2020_setrank_102215,
  title = {{SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6077},
}

@inproceedings{neurips2016_coevolutionary_55624,
  title = {{Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7380},
}

@inproceedings{aaai2017_collaborative_105684,
  title = {{Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10726},
}

@inproceedings{aaai2016_modeling_104737,
  title = {{Modeling Users’ Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/9980},
}

@inproceedings{neurips2018_modeling_57387,
  title = {{Modeling Dynamic Missingness of Implicit Feedback for Recommendation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11644},
}

@inproceedings{neurips2020_information_60085,
  title = {{Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16863},
}

@inproceedings{aaai2021_uncovering_1581,
  title = {{Uncovering Latent Biases in Text: Method and Application to Peer Review}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04767-uncovering-latent-biases-in-text-method-and-application-to-peer-review/},
}

@inproceedings{aaai2019_exploiting_100202,
  title = {{Exploiting the Contagious Effect for Employee Turnover Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3910},
}

@inproceedings{neurips2018_inference_57236,
  title = {{Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11538},
}

@inproceedings{aaai2021_neuralac_1064,
  title = {{NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04072-neuralac-learning-cooperation-and-competition-effects-for-match-outcome-prediction/},
}

@inproceedings{aaai2018_coupled_102422,
  title = {{Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11689},
}

@inproceedings{aaai2024_adversarial_5150,
  title = {{Adversarial Socialbots Modeling Based on Structural Information Principles}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27793},
}

@inproceedings{aaai2024_backdoor_5262,
  title = {{Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29081},
}

@inproceedings{aaai2024_predicting_6978,
  title = {{Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28854},
}

@inproceedings{cvpr2024_smart_24841,
  title = {{Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30643},
}

@inproceedings{aaai2024_identifying_6267,
  title = {{Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30231},
}

@inproceedings{aaai2024_recommender_7077,
  title = {{Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30266},
}

@inproceedings{aaai2025_addressing_8046,
  title = {{Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33469},
}

@inproceedings{cvpr2024_the_25007,
  title = {{The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31762},
}

@inproceedings{aaai2025_rem_10439,
  title = {{REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34917},
}

@inproceedings{neurips2024_statistical_70854,
  title = {{Statistical Inference for Fairness Auditing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/98330},
}

@inproceedings{aaai2024_data_5597,
  title = {{Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28864},
}

@inproceedings{aaai2025_bayescns_8234,
  title = {{BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/31975},
}

@inproceedings{aaai2025_counterfactual_8551,
  title = {{Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33396},
}

@inproceedings{neurips2024_preference_73833,
  title = {{Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93675},
}

@inproceedings{neurips2025_counterfactual_77033,
  title = {{Counterfactual Implicit Feedback Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=PlcH6HJku4},
}

@inproceedings{aaai2025_developing_8713,
  title = {{Developing Generative Recommender Systems for Government Subsidy Pro-Grams with a New RQ-VAE Model: Wello \& the Korean Government Case}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35140},
}

@inproceedings{aaai2025_integrating_9580,
  title = {{Integrating Inference and Experimental Design for Contextual Behavioral Model Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33591},
}

@inproceedings{icml2024_adaptive_45280,
  title = {{Adaptive Accompaniment with ReaLchords}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33172},
}

@inproceedings{icml2025_towards_48177,
  title = {{Towards Attributions of Input Variables in a Coalition}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44434},
}

@inproceedings{icml2026_what_52502,
  title = {{What Does Preference Learning Recover from Pairwise Comparison Data?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=WepBmd1L4v},
}