Publications

60 results for Parikshit Ram

Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
- - Akihiro Kishimoto
  - Djallel Bouneffouf
  - et al.
- 2022
- AAAI 2022
Addressing Solution Quality in Data-generated Optimization Models
- - Orit Davidovich
  - Parikshit Ram
  - et al.
- 2022
- AAAI 2022
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
- - Yi Zhou
  - Parikshit Ram
  - et al.
- 2021
- NeurIPS 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD
- - Chen Fan
  - Parikshit Ram
  - et al.
- 2021
- NeurIPS 2021
Data and Knowledge Driven Optimization Model Generation for Flow Based Optimization Problems
- - Dharmashankar Subramanian
  - Segev Wasserkrug
  - et al.
- 2021
- INFORMS 2021
Pipeline Combinators for Gradual AutoML
- - Guillaume Baudart
  - Martin Hirzel
  - et al.
- 2021
- NeurIPS 2021
Ensuring the Quality of Optimization Solutions in Data Generated Optimization Models
- - Segev Wasserkrug
  - Orit Davidovich
  - et al.
- 2021
- IJCAI 2021
Fruit-fly Inspired Neighborhood Encoding for Classification
- - Kaushik Sinha
  - Parikshit Ram
- 2021
- KDD 2021
Nonconvex Min-Max Bilevel Optimization for Task Robust Meta Learning
- - Alex Gu
  - Songtao Lu
  - et al.
- 2021
- ICML 2021
Leveraging Theoretical Tradeoffs in Hyperparameter Selection for Improved Empirical Performance
- - Horst Samulowitz
  - Parikshit Ram
  - et al.
- 2021
- ICML 2021