Kwangmoo Koh

According to our database, Kwangmoo Koh authored at least 7 papers between 2007 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Multi-Period Trading via Convex Optimization.

Stephen P. Boyd, Enzo Busseti, Steven Diamond, Ronald N. Kahn, Kwangmoo Koh, Peter Nystrup, Jan Speth

Found. Trends Optim., 2017

2009

₁ Trend Filtering.

Seung-Jean Kim, Kwangmoo Koh, Stephen P. Boyd, Dimitry M. Gorinevsky

SIAM Rev., 2009

2008

Learning the kernel via convex optimization.

Seung-Jean Kim, Argyrios Zymnis, Alessandro Magnani, Kwangmoo Koh, Stephen P. Boyd

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares.

Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Stephen P. Boyd, Dimitry Gorinevsky

J. Sel. Topics Signal Processing, 2007

An Interior-Point Method for Large-Scale <i>l</i>₁-Regularized Logistic Regression.

Kwangmoo Koh, Seung-Jean Kim, Stephen P. Boyd

J. Mach. Learn. Res., 2007

An Efficient Method for Compressed Sensing.

Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Stephen P. Boyd

Proceedings of the International Conference on Image Processing, 2007

A Method for Large-Scale l1-Regularized Logistic Regression.

Kwangmoo Koh, Seung-Jean Kim, Stephen P. Boyd

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007