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Optimization

14,983 papers

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Papers

Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022
Fast Finite Width Neural Tangent Kernel ICML 2022
Anticorrelated Noise Injection for Improved Generalization ICML 2022
On Learning Mixture of Linear Regressions in the Non-Realizable Setting ICML 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks ICML 2022
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming ICML 2022
Exact Optimal Accelerated Complexity for Fixed-Point Iterations ICML 2022
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging ICML 2022
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning ICML 2022
Federated Learning with Partial Model Personalization ICML 2022
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry ICML 2022
Constrained Offline Policy Optimization ICML 2022
Adaptive Second Order Coresets for Data-efficient Machine Learning ICML 2022
A Simple Guard for Learned Optimizers ICML 2022
Hardness and Algorithms for Robust and Sparse Optimization ICML 2022
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty ICML 2022
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence ICML 2022
Fast and Provable Nonconvex Tensor RPCA ICML 2022
Winning the Lottery Ahead of Time: Efficient Early Network Pruning ICML 2022
A Closer Look at Smoothness in Domain Adversarial Training ICML 2022
Proximal Exploration for Model-guided Protein Sequence Design ICML 2022
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation ICML 2022
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning ICML 2022
Probabilistically Robust Learning: Balancing Average and Worst-case Performance ICML 2022
Constraint-based graph network simulator ICML 2022