Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
8
13
8
24
100
100
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
'5
'10
'15
'20
'25
Papers (including subtopics)
Local Glivenko-Cantelli
COLT 2023
Local Intrinsic Dimensional Entropy
AAAI 2023
Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search
NeurIPS 2023
Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!
ICML 2023
Locally Regularized Sparse Graph by Fast Proximal Gradient Descent
UAI 2023
Local Message Passing on Frustrated Systems
UAI 2023
Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields
CVPR 2023
Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits
ACML 2023
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
NeurIPS 2023
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees
NeurIPS 2023
Lo-Hi: Practical ML Drug Discovery Benchmark
NeurIPS 2023
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability
ICML 2023
Low-complexity Broadband Beampattern Synthesis using Array Response Control
Interspeech 2023
Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set
ICML 2023
Lower Bounds and Accelerated Algorithms for Bilevel Optimization
JMLR 2023
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
COLT 2023
Lower Bounds on Adaptive Sensing for Matrix Recovery
NeurIPS 2023
Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
ICLR 2023
Low-rank matrix recovery with unknown correspondence
UAI 2023
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence
JMLR 2023
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
AutoML 2023
Machine learning detects terminal singularities
NeurIPS 2023
Machines of Finite Depth: Towards a Formalization of Neural Networks
AAAI 2023
Many-body Approximation for Non-negative Tensors
NeurIPS 2023
Markov Decision Processes with Time-Varying Geometric Discounting
AAAI 2023