Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
- Max Biggs
- Wei Sun
- et al.
- 2021
- ICML 2021
Publications
1576 results for Machine Learning
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
- Yue Cao
- Payel Das
- et al.
- 2021
- ICML 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach
- Yue Yu
- Tian Gao
- et al.
- 2021
- ICML 2021
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
- 2021
- ICML 2021
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
- Felix Petersen
- Christian Borgelt
- et al.
- 2021
- ICML 2021
Auto-NBA: Efficient and Effective Search Over The Joint Space of Networks, Bitwidths, and Accelerators
- Yonggan Fu
- Yongan Zhang
- et al.
- 2021
- ICML 2021
Reinforcement Learning with Logical Action-Aware Features for Polymer Discovery
- Sarathkrishna Swaminathan
- Dmitry Zubarev
- et al.
- 2021
- ICML 2021
Leveraging Theoretical Tradeoffs in Hyperparameter Selection for Improved Empirical Performance
- Horst Samulowitz
- Parikshit Ram
- et al.
- 2021
- ICML 2021
A comparative study of stochastic and deep generative models for multisite precipitation synthesis
- Bianca Zadrozny
- Dario Augusto Borges Oliveira
- et al.
- 2021
- ICML 2021
Controlling Weather Field Synthesis Using Variational Autoencoders
- Dario Augusto Borges Oliveira
- Jorge Luis Guevara Diaz
- et al.
- 2021
- ICML 2021