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
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Papers (including subtopics)
Essential Matrix Estimation using Convex Relaxations in Orthogonal Space
ICCV 2023
Establishing Markov equivalence in cyclic directed graphs
UAI 2023
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks
AAAI 2023
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
NeurIPS 2023
Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance
NeurIPS 2023
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
NeurIPS 2023
Estimating Total Correlation with Mutual Information Estimators
AISTATS 2023
Estimating virtual targets for lingual stop consonants using general Tau theory
Interspeech 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments
ICML 2023
Evaluating and reducing the distance between synthetic and real speech distributions
Interspeech 2023
Evaluating Epistemic Logic Programs via Answer Set Programming with Quantifiers
AAAI 2023
Evaluating Generative Networks Using Gaussian Mixtures of Image Features
WACV 2023
Evaluating Instrument Validity using the Principle of Independent Mechanisms
JMLR 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
NeurIPS 2023
Event Process Typing via Hierarchical Optimal Transport
AAAI 2023
EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only
ACL 2023
Ewald-based Long-Range Message Passing for Molecular Graphs
ICML 2023
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
NeurIPS 2023
Exact Inference in High-order Structured Prediction
ICML 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
NeurIPS 2023
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
NeurIPS 2023
Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View
IJCAI 2023
Expectation-Complete Graph Representations with Homomorphisms
ICML 2023
Experimental Designs for Heteroskedastic Variance
NeurIPS 2023
Explainable and Efficient Randomized Voting Rules
NeurIPS 2023