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Optimization

1,207 papers

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Papers

Quantum Algorithms for Non-smooth Non-convex Optimization NIPS 2024
Time-Constrained Robust MDPs NIPS 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NIPS 2024
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NIPS 2024
Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence NIPS 2024
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NIPS 2024
Generalized Eigenvalue Problems with Generative Priors NIPS 2024
Symbolic Regression with a Learned Concept Library NIPS 2024
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization NIPS 2024
Private Geometric Median NIPS 2024
Sample-efficient Bayesian Optimisation Using Known Invariances NIPS 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NIPS 2024
Monte Carlo Tree Search based Space Transfer for Black Box Optimization NIPS 2024
Alias-Free Mamba Neural Operator NIPS 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NIPS 2024
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms NIPS 2024
Dual Lagrangian Learning for Conic Optimization NIPS 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NIPS 2024
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem NIPS 2024
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models NIPS 2024
LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication NIPS 2024
Constrained Binary Decision Making NIPS 2024
The Fine-Grained Complexity of Gradient Computation for Training Large Language Models NIPS 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NIPS 2024