Sparse + Group-sparse dirty models: Statistical guarantees without unreasonable conditions and a case for non-convexity
- Eunho Yang
- Aurelie C. Lozano
- 2017
- ICML 2017
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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9 results at ICML 2017
Parallel and distributed thompson sampling for large-scale accelerated exploration of chemical space
- José Miguel Hernández-Lobato
- James Requeima
- et al.
- 2017
- ICML 2017
Local-to-global Bayesian network structure learning
- Tian Gao
- Kshitij Fadnis
- et al.
- 2017
- ICML 2017
Identifying best interventions through online importance sampling
- Rajat Sen
- Karthikeyan Shanmugam
- et al.
- 2017
- ICML 2017
MEC: Memory-efficient convolution for deep neural network
- M. Cho
- Daniel Brand
- 2017
- ICML 2017
Algorithms for ℓp low-rank approximation
- Flavio Chierichetti
- Sreenivas Gollapudi
- et al.
- 2017
- ICML 2017
Identification and model testing in linear structural equation models using auxiliary variables
- Bryant Chen
- Daniel Kumor
- et al.
- 2017
- ICML 2017
McGan: Mean and covariance feature matching GAN
- Youssef Mroueh
- Tom Sercu
- et al.
- 2017
- ICML 2017
Bidirectional learning for time-series models with hidden units
- Takayuki Osogami
- Hiroshi Kajino
- et al.
- 2017
- ICML 2017