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bilevel optimization

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OptNet: Differentiable Optimization as a Layer in Neural Networks

ICML 2017 locuslab/optnet

This paper presents OptNet, a network architecture that integrates optimization problems (here, specifically in the form of quadratic programs) as individual layers in larger end-to-end trainable deep networks.

BILEVEL OPTIMIZATION

Truncated Back-propagation for Bilevel Optimization

25 Oct 2018lucfra/FAR-HO

Bilevel optimization has been recently revisited for designing and analyzing algorithms in hyperparameter tuning and meta learning tasks.

BILEVEL OPTIMIZATION META-LEARNING

SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels

ICLR 2019 orlitany/SOSELETO

We present SOSELETO (SOurce SELEction for Target Optimization), a new method for exploiting a source dataset to solve a classification problem on a target dataset.

BILEVEL OPTIMIZATION TRANSFER LEARNING

Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO

3 Apr 2017lfsimoes/beam_paco__gtoc5

The design of spacecraft trajectories for missions visiting multiple celestial bodies is here framed as a multi-objective bilevel optimization problem.

BILEVEL OPTIMIZATION

MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation

27 Mar 2020chaoyanghe/MiLeNAS

To remedy this, this paper proposes \mldas, a mixed-level reformulation for NAS that can be optimized efficiently and reliably.

BILEVEL OPTIMIZATION NEURAL ARCHITECTURE SEARCH

Penalty Method for Inversion-Free Deep Bilevel Optimization

8 Nov 2019jihunhamm/bilevel-penalty

Bilevel optimization problems are at the center of several important machine learning problems such as hyperparameter tuning, data denoising, meta- and few-shot learning, data poisoning.

BILEVEL OPTIMIZATION DATA POISONING DENOISING FEW-SHOT LEARNING OMNIGLOT