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Optimization

1203 directly classified papers

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Papers

Optimal Multiclass U-Calibration Error and Beyond NIPS 2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection NIPS 2024
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds NIPS 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes NIPS 2024
Non-geodesically-convex optimization in the Wasserstein space NIPS 2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NIPS 2024
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing NIPS 2024
A two-scale Complexity Measure for Deep Learning Models NIPS 2024
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut NIPS 2024
Policy Mirror Descent with Lookahead NIPS 2024
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs NIPS 2024
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NIPS 2024
Time-Constrained Robust MDPs NIPS 2024
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems AAAI 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
Private Geometric Median 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
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NIPS 2024
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models JMLR 2024