SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization
- Songtao Lu
- 2023
- NeurIPS 2023
Publications
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition
- Quan Xiao
- Songtao Lu
- et al.
- 2023
- NeurIPS 2023
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
- Shengcao Cao
- Dhiraj Joshi
- et al.
- 2023
- NeurIPS 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- Giorgio Giannone
- Akash Srivastava
- et al.
- 2023
- NeurIPS 2023
Modulated Neural ODEs
- Ilze Amanda Auzina
- Cagatay Yildiz
- et al.
- 2023
- NeurIPS 2023
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
- Fan Feng
- Sara Magliacane
- 2023
- NeurIPS 2023
Adapting Fairness Interventions to Missing Values
- Raymond Feng
- Flavio Calmon
- et al.
- 2023
- NeurIPS 2023
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
- Sarath Sreedharan
- Michael Katz
- 2023
- NeurIPS 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
- Hao Wang
- Luxi He
- et al.
- 2023
- NeurIPS 2023
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
- Jehanzeb Mirza
- Leonid Karlinsky
- et al.
- 2023
- NeurIPS 2023