## 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, software)

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, software)

H. Yu, H. Huang, I. Dhillon, C. Lin.

In*the AAAI Conference on Artificial Intelligence (AAAI)*, 2017.

### 2016

- Asynchronous Parallel Greedy Coordinate Descent (pdf, software)

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, software, 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, software, 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, software)

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**)