Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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8
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24
100
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311
530
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880
1,053
1,491
1,739
1,880
1,904
2,070
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1,785
517
2000
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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