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
13
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24
100
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125
139
182
227
311
530
574
599
676
880
1,053
1,491
1,739
1,880
1,904
2,070
2,345
1,785
517
2000
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Papers (including subtopics)
The Primal-Dual method for Learning Augmented Algorithms
NeurIPS 2020
The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time
AISTATS 2020
The route to chaos in routing games: When is price of anarchy too optimistic?
NeurIPS 2020
The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response
AAAI 2020
The Statistical Complexity of Early-Stopped Mirror Descent
NeurIPS 2020
The Strong Screening Rule for SLOPE
NeurIPS 2020
The Sylvester Graphical Lasso (SyGlasso)
AISTATS 2020
The Wasserstein Proximal Gradient Algorithm
NeurIPS 2020
The weight function in the subtree kernel is decisive
JMLR 2020
Thompson Sampling Algorithms for Mean-Variance Bandits
ICML 2020
Thompson Sampling for Adversarial Bit Prediction
ALT 2020
Thresholding Bandit Problem with Both Duels and Pulls
AISTATS 2020
Threshold Treewidth and Hypertree Width
IJCAI 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
NeurIPS 2020
Thunder: a Fast Coordinate Selection Solver for Sparse Learning
NeurIPS 2020
Tight Approximation for Proportional Approval Voting
IJCAI 2020
Tight Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
ICML 2020
Tight Convergence Rate of Gradient Descent for Eigenvalue Computation
IJCAI 2020
Tight First- and Second-Order Regret Bounds for Adversarial Linear Bandits
NeurIPS 2020
Tight Lower Bounds for Combinatorial Multi-Armed Bandits
COLT 2020
Time-Inconsistent Planning: Simple Motivation Is Hard to Find
AAAI 2020
Time-Reversal Symmetric ODE Network
NeurIPS 2020
Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework
UAI 2020
Tiramisu: Fast Multilayer Network Verification
NSDI 2020
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!
EMNLP 2020