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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)

Learning Tractable Probabilistic Models from Inconsistent Local Estimates NeurIPS 2022 Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NeurIPS 2022 Learning Versatile Neural Architectures by Propagating Network Codes ICLR 2022 Learning (Very) Simple Generative Models Is Hard NeurIPS 2022 Learning what to remember ALT 2022 Learning with convolution and pooling operations in kernel methods NeurIPS 2022 Learning with Distributional Inverters ALT 2022 Learning with Interactive Models over Decision-Dependent Distributions ACML 2022 Learning with little mixing NeurIPS 2022 Learning with metric losses COLT 2022 Least Squares Estimation using Sketched Data with Heteroskedastic Errors ICML 2022 Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning NeurIPS 2022 LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation ICML 2022 Less-forgetting Multi-lingual Fine-tuning NeurIPS 2022 Less Is More: Pay Less Attention in Vision Transformers AAAI 2022 Lethal Dose Conjecture on Data Poisoning NeurIPS 2022 Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence JMLR 2022 Let the Model Decide its Curriculum for Multitask Learning NAACL 2022 Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare NeurIPS 2022 Leveraging Initial Hints for Free in Stochastic Linear Bandits ALT 2022 Leveraging Inter-Layer Dependency for Post -Training Quantization NeurIPS 2022 Lexical stress in Spanish word segmentation Interspeech 2022 Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration IJCAI 2022 Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion CoRL 2022 LieGG: Studying Learned Lie Group Generators NeurIPS 2022