Ph.D. Thesis:
Theoretical study of two prediction-centric problems: graphical model learning and recommendations
Department of Electrical Engineering and Computer Science, MIT, September 2017.
Journal Publications:
Learning a tree-structured Ising model in order to make predictions,
with Guy Bresler, submitted.
Regret bounds and regimes of optimality for user-user and item-item recommendation systems,
with Guy Bresler.
Tight regret bound for a latent variable model of recommendation systems,
with Guy Bresler, in preparation
Demosaicking by alternating projections: theory and fast one-step implementation
with Yue Lu, IEEE Transactions on Image Processing, 2010.
Conference Publications:
Regret bounds and regimes of optimality for user-user and item-item recommendation systems,
with Guy Bresler, 55th Allerton Conf. on Communication, Control, and Computing, 2017.
with Guy Bresler, 53rd Allerton Conf. on Communication, Control, and Computing, 2015.
Communication strategies for low-latency trading
with Lav R. Varshney, 2015 IEEE International Symposium on Information Theory (ISIT) 2015.
Degrees of freedom in fading channels with memory: achievability through nonlinear decoding
with Lizhong Zheng, 52nd Allerton Conf. on Communication, Control, and Computing, 2014.
Achievability of nonlinear degrees of freedom in correlatively changing fading channels
with Lizhong Zheng, 48th Conference on Information Sciences and Systems (CISS), 2014.
Iterative demosaicking accelerated: theory and fast noniterative implementations
with Yue M. Lu, and Martin Vetterli, Proc. of SPIE Conf. on Computational Imaging, 2009.
Assessing Digital surface models by verifying shadows: a sensor network approach
with Claudio Carneiro, Francois Golay, Yue M. Lu, and Martin Vetterli, Proc. of 6th International Conf. on Spatial Data Quality, 2009.