Selecting near-optimal learners via incremental data allocation
- Ashish Sabharwal
- Horst Samulowitz
- et al.
- 2016
- AAAI 2016
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17 results for Ashish Sabharwal
Designing fast absorbing Markov chains
- Stefano Ermon
- Carla P. Gomes
- et al.
- 2014
- AAAI 2014
Non-restarting SAT solvers with simple preprocessing can efficiently simulate resolution
- Paul Beame
- Ashish Sabharwal
- 2014
- AAAI 2014
Low-density parity constraints for hashing-based discrete integration
- Stefano Ermon
- Carla P. Gomes
- et al.
- 2014
- ICML 2014
Embed and project: Discrete sampling with universal hashing
- Stefano Ermon
- Carla P. Gomes
- et al.
- 2013
- NeurIPS 2013
Resolution and parallelizability: Barriers to the efficient parallelization of SAT solvers
- George Katsirelos
- Ashish Sabharwal
- et al.
- 2013
- AAAI 2013
Large landscape conservation - Synthetic and real-world datasets
- Bistra Dilkina
- Katherine Lai
- et al.
- 2013
- AAAI 2013
Taming the curse of dimensionality: Discrete integration by hashing and optimization
- Stefano Ermon
- Carla P. Gomes
- et al.
- 2013
- ICML 2013
Density Propagation and improved bounds on the partition function
- Stefano Ermon
- Carla P. Gomes
- et al.
- 2012
- NeurIPS 2012
Accelerated Adaptive Markov Chain for partition function computation
- Stefano Ermon
- Carla P. Gomes
- et al.
- 2011
- NeurIPS 2011