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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

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

Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning IJCAI 2021 WILDS: A Benchmark of in-the-Wild Distribution Shifts ICML 2021 With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms EACL 2021 Word Competition: An Entropy-Based Approach in the DIANA Model of Human Word Comprehension Interspeech 2021 Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021 XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021 XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty UAI 2021 You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism NeurIPS 2021 You Only Look One-Level Feature CVPR 2021 You should evaluate your language model on marginal likelihood over tokenisations EMNLP 2021 Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition ICCV 2021 Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model ICML 2021 Zero-Shot Recognition via Optimal Transport WACV 2021 Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging ICML 2021 γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator AISTATS 2021 2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets WACV 2020 3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels AAAI 2020 3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training AAAI 2020 3D semi-supervised learning with uncertainty-aware multi-view co-training WACV 2020 3D Shape Completion with Multi-View Consistent Inference AAAI 2020 99% of Worker-Master Communication in Distributed Optimization Is Not Needed UAI 2020 A Bandit Learning Algorithm and Applications to Auction Design NeurIPS 2020 A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020 A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play RSS 2020 A Bayesian Perspective on Training Speed and Model Selection NeurIPS 2020