| 2023 | ISIT | Majorizing Measures, Codes, and Information. | Yifeng Chu, Maxim Raginsky |
| 2021 | ACSSC | EE-Grad: Exploration and Exploitation for Cost-Efficient Mini-Batch SGD. | Mehmet A. Donmez, Jeffrey Ludwig, Maxim Raginsky, Andrew C. Singer |
| 2020 | UAI | Model-Augmented Conditional Mutual Information Estimation for Feature Selection. | Alan Yang, AmirEmad Ghassami, Maxim Raginsky, Negar Kiyavash, Elyse Rosenbaum |
| 2019 | COLT | Theoretical guarantees for sampling and inference in generative models with latent diffusions. | Belinda Tzen, Maxim Raginsky |
| 2018 | ALT | Sequential prediction with coded side information under logarithmic loss. | Yanina Shkel, Maxim Raginsky, Sergio Verd |
| 2018 | COLT | Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability. | Belinda Tzen, Tengyuan Liang, Maxim Raginsky |
| 2018 | ISIT | Universal Compression, List Decoding, and Logarithmic Loss. | Yanina Shkel, Maxim Raginsky, Sergio Verd |
| 2017 | ACSSC | Rationally inattentive Markov decision processes over a finite horizon. | Ehsan Shafieepoorfard, Maxim Raginsky |
| 2017 | COLT | Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis. | Maxim Raginsky, Alexander Rakhlin, Matus Telgarsky |
| 2017 | ISIT | Universal lossy compression under logarithmic loss. | Yanina Shkel, Maxim Raginsky, Sergio Verd |
| 2016 | ACSSC | Cost-performance tradeoffs in unreliable computation architectures. | Mehmet A. Donmez, Maxim Raginsky, Andrew C. Singer, Lav R. Varshney |
| 2016 | ISIT | Channel polarization and Blackwell measures. | Maxim Raginsky |
| 2016 | ITW | Information-theoretic analysis of stability and bias of learning algorithms. | Maxim Raginsky, Alexander Rakhlin, Matthew Tsao, Yihong Wu, Aolin Xu |
| 2015 | ISIT | On MMSE estimation from quantized observations in the nonasymptotic regime. | Jaeho Lee, Maxim Raginsky, Pierre Moulin |
| 2015 | ISIT | Converses for distributed estimation via strong data processing inequalities. | Aolin Xu, Maxim Raginsky |
| 2014 | ISIT | A new information-theoretic lower bound for distributed function computation. | Aolin Xu, Maxim Raginsky |
| 2013 | ISIT | Logarithmic Sobolev inequalities and strong data processing theorems for discrete channels. | Maxim Raginsky |
| 2013 | ISIT | Refined bounds on the empirical distribution of good channel codes via concentration inequalities. | Maxim Raginsky, Igal Sason |
| 2013 | ITW | Learning joint quantizers for reconstruction and prediction. | Maxim Raginsky |
| 2011 | ISIT | Shannon meets Blackwell and Le Cam: Channels, codes, and statistical experiments. | Maxim Raginsky |
| 2010 | CISS | Fishing in Poisson streams: Focusing on the whales, ignoring the minnows. | Maxim Raginsky, Sina Jafarpour, Rebecca Willett, A. Robert Calderbank |
| 2010 | ICASSP | Hyperspectral target detection from incoherent projections. | Kalyani Krishnamurthy, Maxim Raginsky, Rebecca Willett |
| 2010 | ICIP | Hyperspectral target detection from incoherent projections: Nonequiprobable targets and inhomogeneous SNR. | Kalyani Krishnamurthy, Maxim Raginsky, Rebecca Willett |
| 2010 | ISIT | Mutual information saddle points in channels of exponential family type. | Todd P. Coleman, Maxim Raginsky |
| 2010 | ISIT | Empirical processes and typical sequences. | Maxim Raginsky |
| 2009 | CVPR | An empirical Bayes approach to contextual region classification. | Svetlana Lazebnik, Maxim Raginsky |
| 2009 | ISIT | Achievability results for statistical learning under communication constraints. | Maxim Raginsky |
| 2009 | ISIT | Sequential probability assignment via online convex programming using exponential families. | Maxim Raginsky, Roummel F. Marcia, Jorge G. Silva, Rebecca M. Willett |
| 2009 | ISIT | Performance bounds on compressed sensing with Poisson noise. | Rebecca M. Willett, Maxim Raginsky |
| 2008 | ICASSP | A low-complexity universal scheme for rate-constrained distributed regression using a wireless sensor network. | Avon L. Fernandes, Maxim Raginsky, Todd P. Coleman |
| 2008 | ISIT | Universal Wyner-Ziv coding of discrete memoryless sources with known side information statistics. | Maxim Raginsky |
| 2007 | ISIT | Joint Universal Lossy Coding and Identification of Stationary Mixing Sources. | Maxim Raginsky |
| 2006 | ISIT | Joint Universal Lossy Coding and Identification of I.I.D. Vector Sources. | Maxim Raginsky |
| 2005 | ISIT | A complexity-regularized quantization approach to nonlinear dimensionality reduction. | Maxim Raginsky |