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All publications by Stefano Ermon
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A Hybrid Approach for Probabilistic Inference using Random Projections
Michael Zhu and Stefano Ermon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


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