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Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

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Papers (including subtopics)

Anderson acceleration of coordinate descent AISTATS 2021
Inference in Stochastic Epidemic Models via Multinomial Approximations AISTATS 2021
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation AISTATS 2021
Reaping the Benefits of Bundling under High Production Costs AISTATS 2021
Momentum Improves Optimization on Riemannian Manifolds AISTATS 2021
Quick Streaming Algorithms for Maximization of Monotone Submodular Functions in Linear Time AISTATS 2021
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency AISTATS 2021
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression AISTATS 2021
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes AISTATS 2021
Efficient Statistics for Sparse Graphical Models from Truncated Samples AISTATS 2021
Shadow Manifold Hamiltonian Monte Carlo AISTATS 2021
Identification of Matrix Joint Block Diagonalization AISTATS 2021
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation AISTATS 2021
Learning Complexity of Simulated Annealing AISTATS 2021
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers AISTATS 2021
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization AISTATS 2021
On the Faster Alternating Least-Squares for CCA AISTATS 2021
Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation AISTATS 2021
Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT AISTATS 2021
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects AISTATS 2021
Improved Complexity Bounds in Wasserstein Barycenter Problem AISTATS 2021
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator AISTATS 2021
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings AISTATS 2021
Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery AISTATS 2021