conftrace_

learning to optimize

15 papers

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Co-occurring keywords

optimization algorithm (148) neural network optimization (1293) generalization guarantee (53) pac-bayesian bound (40) out-of-distribution generalization (408) optimizer generalization (1) flatness regularization (4) population-based optimization (11) stochastic policy (25) function class (10)

Papers

Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers AAAI 2025
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation JMLR 2025
Towards Robust Learning to Optimize with Theoretical Guarantees CVPR 2024
Learning to Generalize Provably in Learning to Optimize AISTATS 2023
Learning to Optimize Differentiable Games ICML 2023
PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023
Towards Constituting Mathematical Structures for Learning to Optimize ICML 2023
Learning to Optimize: A Primer and A Benchmark JMLR 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022
Learning to Switch Optimizers for Quadratic Programming ACML 2021
Learning to Learn Graph Topologies NIPS 2021
Training Stronger Baselines for Learning to Optimize NIPS 2020
Learning to Optimize in Swarms NIPS 2019
HyperAdam: A Learnable Task-Adaptive Adam for Network Training AAAI 2019
Learning to Optimize Combinatorial Functions ICML 2018