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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation AISTATS 2021 Kernel regression in high dimensions: Refined analysis beyond double descent AISTATS 2021 Kernel Stein Discrepancy Descent ICML 2021 Kernel Thinning COLT 2021 Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees IJCAI 2021 KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning ICML 2021 Landscape analysis of an improved power method for tensor decomposition NeurIPS 2021 Langevin Monte Carlo: random coordinate descent and variance reduction JMLR 2021 Large-Scale Learning with Fourier Features and Tensor Decompositions NeurIPS 2021 Large-Scale Multi-Agent Deep FBSDEs ICML 2021 Large-Scale Wasserstein Gradient Flows NeurIPS 2021 Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes AISTATS 2021 Last-Iterate Convergence Rates for Min-Max Optimization: Convergence of Hamiltonian Gradient Descent and Consensus Optimization ALT 2021 Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games ALT 2021 Lattice partition recovery with dyadic CART NeurIPS 2021 Layer-wise Model Pruning based on Mutual Information EMNLP 2021 Lazy OCO: Online Convex Optimization on a Switching Budget COLT 2021 LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints AAAI 2021 LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction SemEval 2021 Learn2Hop: Learned Optimization on Rough Landscapes ICML 2021 Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection NeurIPS 2021 Learner-Private Convex Optimization ICML 2021 Learning 3D Dense Correspondence via Canonical Point Autoencoder NeurIPS 2021 Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning ACML 2021 Learning a Gradient-free Riemannian Optimizer on Tangent Spaces AAAI 2021