← Optimization
Mathematics & Optimization › Optimization ›

Continuous Optimization

3907 directly classified papers

Papers per year

Papers

Modular Flows: Differential Molecular Generation NIPS 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation ICML 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization NIPS 2022
Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations JMLR 2022
Giga-scale Kernel Matrix-Vector Multiplication on GPU NIPS 2022
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity ICML 2022
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization NIPS 2022
Learning Mixed Multinomial Logits with Provable Guarantees NIPS 2022
High-dimensional Additive Gaussian Processes under Monotonicity Constraints NIPS 2022
Only tails matter: Average-Case Universality and Robustness in the Convex Regime ICML 2022
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels NIPS 2022
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions NIPS 2022
Local Bayesian optimization via maximizing probability of descent NIPS 2022
Dynamic Tensor Product Regression NIPS 2022
Exploitability Minimization in Games and Beyond NIPS 2022
Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors IJCAI 2022
Differentiable Analog Quantum Computing for Optimization and Control NIPS 2022
Scale-invariant Learning by Physics Inversion NIPS 2022
Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations AAAI 2022
Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats NIPS 2022
Fused Orthogonal Alternating Least Squares for Tensor Clustering NIPS 2022
Coresets for Relational Data and The Applications NIPS 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives NIPS 2022
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees NIPS 2022