##### Preprints

A. Pensia, V. Jog, and P. Loh. Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities. Submitted, 2022.

M. Avella-Medina, C. Bradshaw, and P. Loh. Differentially private inference via noisy optimization. Submitted, 2021.

A. Pensia, V. Jog, and P. Loh. Robust regression with covariate filtering: Heavy tails and adversarial contamination. Submitted, 2021.

A. Pensia, A. Tovar Lopez, V. Jog, and P. Loh. Analyzing generalization error of learning algorithms: From information theory to optimal transport. Submitted, 2020.

D. Wang, H. Fu, and P. Loh. Boosting algorithms for estimating optimal individualized treatment rules. 2020.

D. Wang and P. Loh. Adaptive estimation and statistical inference for high-dimensional graph-based linear models. 2020.

J. Khim and P. Loh. Adversarial risk bounds for binary classification via function transformation. 2018.

J. Khim and P. Loh. A theory of maximum likelihood for weighted infection graphs. 2018.

##### conference papers

J. Khim, V. Jog, and P. Loh. Adversarial influence maximization. Proceedings of the ISIT Conference, July 2019.

A. Pensia, V. Jog, and P. Loh. Mean estimation for entangled single-sample distributions. Proceedings of the ISIT Conference, July 2019.

S. Rajput, Z. Feng, Z. Charles, P. Loh, and D. Papailiopoulos. Does data augmentation lead to positive margin? Proceedings of the ICML Conference, June 2019.

M. Pydi, V. Jog, and P. Loh. Graph-based ascent algorithms for function maximization. Proceedings of the 56rd Annual Allerton Conference on Communication, Control, and Computing, October 2018.

Z. Feng and P. Loh. Online learning with graph-structured feedback against adaptive adversaries. Proceedings of the ISIT Conference, Vail, CO, June 2018.

A. Pensia, V. Jog, and P. Loh. Generalization error bounds for noisy, iterative algorithms. Proceedings of the ISIT Conference, Vail, CO, June 2018.

A. Wibisono, V. Jog, and P. Loh. Information and estimation in Fokker-Planck channels. Proceedings of the ISIT Conference, Aachen, Germany, July 2017.

J. Khim, V. Jog, and P. Loh. Computing
and maximizing influence in linear threshold and
triggering models. Proceedings of the NIPS Conference,
Barcelona, Spain, December 2016.

M. Cheng, A. Sriramulu, S. Muralidhar, B. Loo, L. Huang, and P. Loh. Collection, exploration and analysis of crowdfunding social networks. Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web (ExploreDB), June 2016.

V. Jog and P. Loh. Recovering communities in weighted stochastic block models. Proceedings of the 53rd Annual Allerton Conference on Communication, Control, and Computing, October 2015.

V. Jog and P. Loh. On model misspecification and KL separation for Gaussian graphical models. Proceedings of the ISIT Conference, Hong Kong, June 2015.

P. Loh and A. Wibisono. Concavity of reweighted Kikuchi approximation. Proceedings of the NIPS Conference, Montreal, Canada, December 2014.

P. Loh and S. Nowozin.
Faster Hoeffding racing: Bernstein races via jackknife
estimates. Proceedings of the ALT Conference,
Singapore, October 2013.

P. Loh and M.J. Wainwright. Corrupted and missing predictors: Minimax bounds for high-dimensional linear regression. Proceedings of the ISIT Conference, Boston, MA, July 2012.

P. Loh, H. Zhou, and J. Bruck. The robustness of stochastic switching networks. Proceedings of the ISIT Conference, Seoul, Korea, July 2009.