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Optimization

14,983 papers

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Papers

Beyond spectral gap: the role of the topology in decentralized learning NIPS 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NIPS 2022
NeuForm: Adaptive Overfitting for Neural Shape Editing NIPS 2022
Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization NIPS 2022
The Hessian Screening Rule NIPS 2022
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality NIPS 2022
Efficiency Ordering of Stochastic Gradient Descent NIPS 2022
Efficient Architecture Search for Diverse Tasks NIPS 2022
On global convergence of ResNets: From finite to infinite width using linear parameterization NIPS 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD NIPS 2022
When Do Flat Minima Optimizers Work? NIPS 2022
Fast Instrument Learning with Faster Rates NIPS 2022
A Variant of Anderson Mixing with Minimal Memory Size NIPS 2022
Symmetry Teleportation for Accelerated Optimization NIPS 2022
Wasserstein Logistic Regression with Mixed Features NIPS 2022
Poisson Flow Generative Models NIPS 2022
Semi-infinitely Constrained Markov Decision Processes NIPS 2022
Recursive Reasoning in Minimax Games: A Level $k$ Gradient Play Method NIPS 2022
Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning NIPS 2022
Batch size-invariance for policy optimization NIPS 2022
The Curse of Unrolling: Rate of Differentiating Through Optimization NIPS 2022
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning NIPS 2022
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach NIPS 2022
Neural Topological Ordering for Computation Graphs NIPS 2022
A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences NIPS 2022