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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
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828
3,646
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2000
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Papers (including subtopics)

Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. ICML 2022 Hierarchical Transformers Are More Efficient Language Models NAACL 2022 High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation NeurIPS 2022 High-dimensional limit theorems for SGD: Effective dynamics and critical scaling NeurIPS 2022 High-Dimensional Projection Pursuit: Outer Bounds and Applications to Interpolation in Neural Networks COLT 2022 Higher-Order Dependency Parsing for Arc-Polynomial Score Functions via Gradient-Based Methods and Genetic Algorithm AACL 2022 Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection AAAI 2022 High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize ICLR 2022 High-probability bounds for robust stochastic Frank-Wolfe algorithm UAI 2022 High Probability Generalization Bounds with Fast Rates for Minimax Problems ICLR 2022 High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails ICML 2022 Hindering Adversarial Attacks with Implicit Neural Representations ICML 2022 Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022 Hitting times for continuous-time imprecise-Markov chains UAI 2022 HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022 HoD-Net: High-Order Differentiable Deep Neural Networks and Applications AAAI 2022 Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations NeurIPS 2022 Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent (Extended Abstract) IJCAI 2022 Homography Loss for Monocular 3D Object Detection CVPR 2022 Homomorphic Matrix Completion NeurIPS 2022 Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies COLT 2022 How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization AISTATS 2022 How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents NeurIPS 2022 How catastrophic can catastrophic forgetting be in linear regression? COLT 2022 How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets NAACL 2022