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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311
530
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1,491
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Papers (including subtopics)
Projection-free Online Exp-concave Optimization
COLT 2023
Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
ICLR 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning
ICML 2023
Proofs and Certificates for Max-SAT (Extended Abstract)
IJCAI 2023
Properties of Position Matrices and Their Elections
AAAI 2023
Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist
ICML 2023
Proportionality in Approval-Based Participatory Budgeting
AAAI 2023
Proportionally Fair Online Allocation of Public Goods with Predictions
IJCAI 2023
ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics
NeurIPS 2023
PROTES: Probabilistic Optimization with Tensor Sampling
NeurIPS 2023
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
NeurIPS 2023
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond
NeurIPS 2023
Provable benefits of score matching
NeurIPS 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction
ICML 2023
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
NeurIPS 2023
Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints
JMLR 2023
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization
AAAI 2023
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies
AAAI 2023
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
AutoML 2023
Pseudonorm Approachability and Applications to Regret Minimization
ALT 2023
Python package for causal discovery based on LiNGAM
JMLR 2023
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization
AISTATS 2023
q-Learning in Continuous Time
JMLR 2023
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
NeurIPS 2023
Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal
COLT 2023