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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Probabilistic Temporal Logic for Reasoning about Bounded Policies IJCAI 2023 Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models ICML 2023 Probabilistic Verification of ReLU Neural Networks via Characteristic Functions L4DC 2023 Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation. NeurIPS 2023 Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty AAAI 2023 Probabilities of Causation: Role of Observational Data AISTATS 2023 Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information AAAI 2023 Probability Guided Loss for Long-Tailed Multi-Label Image Classification AAAI 2023 Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits ICML 2023 Probing for Hyperbole in Pre-Trained Language Models ACL 2023 Probing Graph Decomposition for Argument Pair Extraction ACL 2023 ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images AISTATS 2023 PROB: Probabilistic Objectness for Open World Object Detection CVPR 2023 Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses AAAI 2023 Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation AAAI 2023 Progressive Learning for Physics-informed Neural Motion Planning RSS 2023 Progressively Optimized Local Radiance Fields for Robust View Synthesis CVPR 2023 Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion Estimation CVPR 2023 Progress measures for grokking via mechanistic interpretability ICLR 2023 Projected Tensor Power Method for Hypergraph Community Recovery ICML 2023 Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems NeurIPS 2023 Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem NeurIPS 2023 Projection-Free Online Convex Optimization via Efficient Newton Iterations NeurIPS 2023 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