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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)

Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling AACL 2022 Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm AISTATS 2022 Characterizing Datapoints via Second-Split Forgetting NeurIPS 2022 Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models ACL 2022 Chasing Convex Bodies and Functions with Black-Box Advice COLT 2022 Cheat Codes to Quantify Missing Source Information in Neural Machine Translation NAACL 2022 Chernoff Sampling for Active Testing and Extension to Active Regression AISTATS 2022 CHEX: CHannel EXploration for CNN Model Compression CVPR 2022 Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models AAAI 2022 Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits ICML 2022 Chromatic Correlation Clustering, Revisited NeurIPS 2022 Chunk Dynamic Updating for Group Lasso with ODEs AAAI 2022 Churn Reduction via Distillation ICLR 2022 CKConv: Continuous Kernel Convolution For Sequential Data ICLR 2022 Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization NeurIPS 2022 Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring ICLR 2022 Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments ICML 2022 ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences NeurIPS 2022 CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders NeurIPS 2022 Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers CVPR 2022 Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise NeurIPS 2022 Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards EMNLP 2022 Clock Skew Robust Acoustic Echo Cancellation Interspeech 2022 Closed-Form Diffeomorphic Transformations for Time Series Alignment ICML 2022 Closed-loop Network Performance Monitoring and Diagnosis with SpiderMon NSDI 2022