Optimizing Functionals on the Space of Probabilities with Input Convex Neural Network
- David Alvarez-Melis
- Yair Schiff
- et al.
- 2021
- NeurIPS 2021
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98 results at NeurIPS 2021
QTN-VQC: An End-to-End Learning Framework for Quantum Neural Networks
- Jun Qi
- Chao-Han Huck Yang
- et al.
- 2021
- NeurIPS 2021
RASL: Relational Algebra in Scikit-Learn Pipelines
- Chirag Sahni
- Kiran Kate
- et al.
- 2021
- NeurIPS 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD
- Chen Fan
- Parikshit Ram
- et al.
- 2021
- NeurIPS 2021
Improved Drought Forecasting Using Surrogate Quantile And Shape (SQUASH) Loss
- Devyani Lambhate
- Smit Marvaniya
- et al.
- 2021
- NeurIPS 2021
Pipeline Combinators for Gradual AutoML
- Guillaume Baudart
- Martin Hirzel
- et al.
- 2021
- NeurIPS 2021
On the Equivalence between Neural Network and Support Vector Machine
- Yilan Chen
- Wei Huang
- et al.
- 2021
- NeurIPS 2021
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
- Quoc Tran-Dinh
- Nhan Pham
- et al.
- 2021
- NeurIPS 2021