The Inverse Regression Topic Model. - Maxim Rabinovich; David M. Blei (ICML, 2014)

On the Accuracy of Self-Normalized Log-Linear Models. - Jacob Andreas; Maxim Rabinovich; Michael I. Jordan; Dan Klein 001 (NIPS, 2015)

Variational Consensus Monte Carlo. - Maxim Rabinovich; Elaine Angelino; Michael I. Jordan (NIPS, 2015)

Online Inference for Relation Extraction with a Reduced Feature Set. - Maxim Rabinovich; Cédric Archambeau (CoRR, 2015)

Function-Specific Mixing Times and Concentration Away from Equilibrium. - Maxim Rabinovich; Aaditya Ramdas; Michael I. Jordan; Martin J. Wainwright (CoRR, 2016)

Fine-Grained Entity Typing with High-Multiplicity Assignments. - Maxim Rabinovich; Dan Klein 001 (ACL (2), 2017)

Abstract Syntax Networks for Code Generation and Semantic Parsing. - Maxim Rabinovich; Mitchell Stern; Dan Klein 001 (ACL (1), 2017)

Quantitative criticism of literary relationships. - Joseph P. Dexter; Theodore Katz; Nilesh Tripuraneni; Tathagata Dasgupta; Ajay Kannan; James Brofos; Jorge A. Bonilla Lopez; Lea A. Schroeder; Adriana Casarez; Maxim Rabinovich; Ayelet Haimson Lushkov; Pramit Chaudhuri (Proc. Natl. Acad. Sci. USA, 2017)

Sharp and Practical Performance Bounds for MCMC and Multiple Testing. - Maxim Rabinovich (2019)

Lower bounds in multiple testing: A framework based on derandomized proxies. - Max Rabinovich; Michael I. Jordan; Martin J. Wainwright (CoRR, 2020)