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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)

Reverse Differentiation via Predictive Coding AAAI 2022 Reverse Engineering ℓ_p attacks: A block-sparse optimization approach with recovery guarantees ICML 2022 Reverse Engineering the Neural Tangent Kernel ICML 2022 Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning JMLR 2022 Revision by Comparison for Ranking Functions IJCAI 2022 Revisiting Active Sets for Gaussian Process Decoders NeurIPS 2022 Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization ICML 2022 Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection CVPR 2022 Revisiting Automatic Evaluation of Extractive Summarization Task: Can We Do Better than ROUGE? ACL 2022 Revisiting Checkpoint Averaging for Neural Machine Translation AACL 2022 Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? ICML 2022 Revisiting Neural Scaling Laws in Language and Vision NeurIPS 2022 Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness ICML 2022 Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization NeurIPS 2022 Revisiting Over-smoothing in BERT from the Perspective of Graph ICLR 2022 Revisiting Over-Smoothness in Text to Speech ACL 2022 Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution NeurIPS 2022 Revisiting Statistical Laws of Semantic Shift in Romance Cognates COLING 2022 Revisiting the Compositional Generalization Abilities of Neural Sequence Models ACL 2022 Revisiting the Effects of Stochasticity for Hamiltonian Samplers ICML 2022 Revisit last-iterate convergence of mSGD under milder requirement on step size NeurIPS 2022 Revisit Systematic Generalization via Meaningful Learning EMNLP 2022 Reward-Free Policy Space Compression for Reinforcement Learning AISTATS 2022 Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes ICML 2022 Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation ACL 2022