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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case NeurIPS 2023 Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata IJCAI 2023 Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization ICML 2023 Faster Gradient-Free Methods for Escaping Saddle Points ICLR 2023 Faster Margin Maximization Rates for Generic Optimization Methods NeurIPS 2023 Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle AISTATS 2023 Faster Query Times for Fully Dynamic k-Center Clustering with Outliers NeurIPS 2023 Faster Relative Entropy Coding with Greedy Rejection Coding NeurIPS 2023 Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition NeurIPS 2023 Fast Feature Selection with Fairness Constraints AISTATS 2023 Fast Fluid Simulation via Dynamic Multi-Scale Gridding AAAI 2023 Fast Nonlinear Vector Quantile Regression ICLR 2023 Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023 Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics JMLR 2023 Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NeurIPS 2023 Fast Private Kernel Density Estimation via Locality Sensitive Quantization ICML 2023 Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity NeurIPS 2023 Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization NeurIPS 2023 Fast Rates in Time-Varying Strongly Monotone Games ICML 2023 Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers AAAI 2023 Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions COLT 2023 Fast Screening Rules for Optimal Design via Quadratic Lasso Reformulation JMLR 2023 Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models AISTATS 2023 Feature Adaptation for Sparse Linear Regression NeurIPS 2023 Featured Graph Coarsening with Similarity Guarantees ICML 2023