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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)

AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution AAAI 2023 Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms IJCAI 2023 Autoregressive Networks JMLR 2023 AutoReP: Automatic ReLU Replacement for Fast Private Network Inference ICCV 2023 AutoRL Hyperparameter Landscapes AutoML 2023 AutoSTL: Automated Spatio-Temporal Multi-Task Learning AAAI 2023 AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration ICCV 2023 A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning NeurIPS 2023 A VAE for Transformers with Nonparametric Variational Information Bottleneck ICLR 2023 A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization AISTATS 2023 A Variational Perspective on High-Resolution ODEs NeurIPS 2023 Average Adjusted Association: Efficient Estimation with High Dimensional Confounders AISTATS 2023 Average case analysis of Lasso under ultra sparse conditions AISTATS 2023 Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity ICML 2023 Average Sensitivity of Decision Tree Learning ICLR 2023 Average Token Delay: A Latency Metric for Simultaneous Translation Interspeech 2023 AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator NeurIPS 2023 Avoiding spurious correlations via logit correction ICLR 2023 Axiomatic Preference Modeling for Longform Question Answering EMNLP 2023 B2T Connection: Serving Stability and Performance in Deep Transformers ACL 2023 BaCaDI: Bayesian Causal Discovery with Unknown Interventions AISTATS 2023 Backforward Propagation (Student Abstract) AAAI 2023 Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning ICLR 2023 Backpropagation-Free Deep Learning with Recursive Local Representation Alignment AAAI 2023 Backpropagation of Unrolled Solvers with Folded Optimization IJCAI 2023