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All publications by Ashish Sabharwal
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Low-density Parity Constraints for Hashing-Based Discrete Integration
Stefano Ermon, Carla Gomes, Ashish Sabharwal and Bart Selman
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization
Stefano Ermon, Carla Gomes, Ashish Sabharwal and Bart Selman
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Embed and Project: Discrete Sampling with Universal Hashing
Stefano Ermon, Carla P. Gomes, Ashish Sabharwal and Bart Selman
Advances in Neural Information Processing Systems 26, 2013


Density Propagation and Improved Bounds on the Partition Function
Stefano Ermon, Ashish Sabharwal, Bart Selman and Carla P. Gomes
Advances in Neural Information Processing Systems 25, 2012


Accelerated Adaptive Markov Chain for Partition Function Computation
Stefano Ermon, Carla P. Gomes, Ashish Sabharwal and Bart Selman
Advances in Neural Information Processing Systems 24, 2011


Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation
Lukas Kroc, Ashish Sabharwal and Bart Selman
Advances in Neural Information Processing Systems 21, 2008


Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints
Carla P. Gomes, Ashish Sabharwal and Bart Selman
Advances in Neural Information Processing Systems 19, 2006