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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Papers (including subtopics)
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging
CVPR 2020
p-Norm Flow Diffusion for Local Graph Clustering
ICML 2020
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
AAAI 2020
Point process models for sequence detection in high-dimensional neural spike trains
NeurIPS 2020
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution
AAAI 2020
Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence
L4DC 2020
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning
AAAI 2020
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix
ICML 2020
Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling
ACML 2020
POP ≡ POCL, Right? Complexity Results for Partial Order (Causal Link) Makespan Minimization
AAAI 2020
Population-Based Black-Box Optimization for Biological Sequence Design
ICML 2020
Poset Representations for Sets of Elementary Triplets
PGM 2020
Position-Based Social Choice Methods for Intransitive Incomplete Pairwise Vote Sets (Student Abstract)
AAAI 2020
Practical Frank–Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games
AAAI 2020
Practical Locally Private Heavy Hitters
JMLR 2020
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes
AISTATS 2020
Precise expressions for random projections: Low-rank approximation and randomized Newton
NeurIPS 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
AAAI 2020
Predicting Declension Class from Form and Meaning
ACL 2020
Predicting Propositional Satisfiability via End-to-End Learning
AAAI 2020
Predicting Training Time Without Training
NeurIPS 2020
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
ICML 2020
Prediction regions through Inverse Regression
JMLR 2020
Prediction with Corrupted Expert Advice
NeurIPS 2020
Preference learning along multiple criteria: A game-theoretic perspective
NeurIPS 2020