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Continuous Optimization

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Papers

Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations JMLR 2022
Proximal Optimal Transport Modeling of Population Dynamics AISTATS 2022
Generalized Leverage Scores: Geometric Interpretation and Applications ICML 2022
A Convergent and Dimension-Independent Min-Max Optimization Algorithm ICML 2022
The Hessian Screening Rule NIPS 2022
Wasserstein Logistic Regression with Mixed Features NIPS 2022
The Curse of Unrolling: Rate of Differentiating Through Optimization NIPS 2022
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming ICML 2022
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization ICML 2022
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation NIPS 2022
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization NIPS 2022
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization NIPS 2022
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors ICML 2022
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps ICML 2022
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters ICML 2022
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels NIPS 2022
Giga-scale Kernel Matrix-Vector Multiplication on GPU NIPS 2022
Fast and accurate optimization on the orthogonal manifold without retraction AISTATS 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives NIPS 2022
High-dimensional Additive Gaussian Processes under Monotonicity Constraints NIPS 2022
Learning Mixed Multinomial Logits with Provable Guarantees NIPS 2022
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching COLING 2022
KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks COLING 2022
Cocktail: A Multidimensional Optimization for Model Serving in Cloud NSDI 2022
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions NIPS 2022