Sampling from Convex Sets with a Cold Start using Multiscale Decompositions. - Hariharan Narayanan; Amit Rajaraman; Piyush Srivastava 001 (STOC, 2023)

Locally Stationary Distributions: A Framework for Analyzing Slow-Mixing Markov Chains. - Kuikui Liu; Sidhanth Mohanty; Prasad Raghavendra; Amit Rajaraman; David X. Wu (FOCS, 2024)

Fast Mixing in Sparse Random Ising Models. - Kuikui Liu; Sidhanth Mohanty; Amit Rajaraman; David X. Wu (FOCS, 2024)

The Fundamental Limits of Recovering Planted Subgraphs (extended abstract). - Daniel Lee; Francisco Pernice; Amit Rajaraman; Ilias Zadik (COLT, 2025)

Weak Poincaré Inequalities, Simulated Annealing, and Sampling from Spherical Spin Glasses. - Brice Huang; Sidhanth Mohanty; Amit Rajaraman; David X. Wu (STOC, 2025)

The Fundamental Limits of Recovering Planted Subgraphs. - Daniel Lee; Francisco Pernice; Amit Rajaraman; Ilias Zadik (CoRR, 2025)