2024
STAR: A Simple Training-free Approach for Recommendations using Large Language Models.
CoRR, 2024
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models.
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Aligning Large Language Models with Recommendation Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Leveraging LLM Reasoning Enhances Personalized Recommender Systems.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Density Weighting for Multi-Interest Personalized Recommendation.
CoRR, 2023
Better Generalization with Semantic IDs: A case study in Ranking for Recommendations.
CoRR, 2023
Online Matching: A Real-time Bandit System for Large-scale Recommendations.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Improving Training Stability for Multitask Ranking Models in Recommender Systems.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Reward Shaping for User Satisfaction in a REINFORCE Recommender.
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2022
Distributionally-robust Recommendations for Improving Worst-case User Experience.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Learning to Embed Categorical Features without Embedding Tables for Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Self-supervised Learning for Large-scale Item Recommendations.
,
,
,
,
,
,
,
,
,
,
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Deep Hash Embedding for Large-Vocab Categorical Feature Representations.
CoRR, 2020
Self-supervised Learning for Deep Models in Recommendations.
CoRR, 2020
Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020
Off-policy Learning in Two-stage Recommender Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020
End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
2019
Recommending what video to watch next: a multitask ranking system.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Sampling-bias-corrected neural modeling for large corpus item recommendations.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Efficient Training on Very Large Corpora via Gramian Estimation.
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates.
IEEE Trans. Inf. Theory, 2018
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
Minimax Gaussian Classification & Clustering.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization.
CoRR, 2016
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Fast Algorithms for Robust PCA via Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
Regularized EM Algorithms: A Unified Framework and Provable Statistical Guarantees.
CoRR, 2015
Optimal Linear Estimation under Unknown Nonlinear Transform.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Binary Embedding: Fundamental Limits and Fast Algorithm.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Novel power grid reduction method based on L1 regularization.
Proceedings of the 52nd Annual Design Automation Conference, 2015
2014
Alternating Minimization for Mixed Linear Regression.
Proceedings of the 31th International Conference on Machine Learning, 2014
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates.
Proceedings of The 27th Conference on Learning Theory, 2014
2013
A Convex Formulation for Mixed Regression: Near Optimal Rates in the Face of Noise.
CoRR, 2013