Publications

2019

• AutoAssist: A Framework to Accelerate Training of Deep Neural Networks
  J. Zhang, H. Yu, I. Dhillon.
  To appear in Neural Information Processing Systems (NIPS), December 2019.
• Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
  R. Sen, H. Yu, I. Dhillon.
  To appear in Neural Information Processing Systems (NIPS), December 2019.
• Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables
  H. Yu, C. Hsieh, I. Dhillon.
  In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.

2017

• A Greedy Approach for Budgeted Maximum Inner Product Search (pdf)
  H. Yu, C. Hsieh, Q. Lei, I. Dhillon.
  In Neural Information Processing Systems (NIPS), December 2017.
• A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information (pdf)
  H. Yu, H. Huang, I. Dhillon, C. Lin.
  In the AAAI Conference on Artificial Intelligence (AAAI), 2017.

2016

• Asynchronous Parallel Greedy Coordinate Descent (pdf)
  Y. You, X. Lian, J. Liu, H. Yu, I. Dhillon, J. Demmel, C. Hsieh.
  In Neural Information Processing Systems (NIPS), December 2016.
• Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction (pdf, code)
  H. Yu, N. Rao, I. Dhillon.
  In Neural Information Processing Systems (NIPS), pp. 847-855, December 2016.
• Nomadic Computing for Big Data Analytics
  H. Yu, C. Hsieh, H. Yun, S. Vishwanathan, I. Dhillon.
  IEEE Computer (IEEE Computer) 49(4), pp. 52–60, 2016.

2015

• Collaborative Filtering with Graph Information: Consistency and Scalable Methods (pdf, code)
  N. Rao, H. Yu, P. Ravikumar, I. Dhillon.
  In Neural Information Processing Systems (NIPS), pp. 2098–2106, December 2015. (Spotlight)
• PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent (pdf)
  C. Hsieh, H. Yu, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 2370-2379, July 2015.
• A Scalable Asynchronous Distributed Algorithm for Topic Modeling (pdf, arXiv, software, code)
  H. Yu, C. Hsieh, H. Yun, S. Vishwanathan, I. Dhillon.
  In International World Wide Web Conference (WWW), pp. 1340-1350, May 2015. (Oral)

2014

• Parallel Matrix Factorization for Recommender Systems (pdf, software)
  H. Yu, C. Hsieh, S. Si, I. Dhillon.
  Knowledge and Information Systems (KAIS) 41(3), pp. 793-819, December 2014.
• NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion (pdf, software)
  H. Yun, H. Yu, C. Hsieh, S. Vishwanathan, I. Dhillon.
  In International Conference on Very Large Data Bases (VLDB), pp. 975-986, July 2014.
• Large-scale Multi-label Learning with Missing Labels (pdf, software)
  H. Yu, P. Jain, P. Kar, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 593–601, June 2014.

2012

• Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems (pdf, software)
  H. Yu, C. Hsieh, S. Si, I. Dhillon.
  In IEEE International Conference on Data Mining (ICDM), pp. 765-774, December 2012. (Oral)