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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)

Domain Adaptation as a Problem of Inference on Graphical Models NeurIPS 2020 Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift NeurIPS 2020 Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit COLT 2020 Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction EMNLP 2020 Domain-Liftability of Relational Marginal Polytopes AISTATS 2020 Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? ACL 2020 Don’t Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop ALT 2020 Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training ACL 2020 Don't Use Large Mini-batches, Use Local SGD ICLR 2020 Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript ICML 2020 DORB: Dynamically Optimizing Multiple Rewards with Bandits EMNLP 2020 Do RNN and LSTM have Long Memory? ICML 2020 Do Subsampled Newton Methods Work for High-Dimensional Data? AAAI 2020 Double-Loop Unadjusted Langevin Algorithm ICML 2020 Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation ICML 2020 Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes JMLR 2020 Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime ICML 2020 Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes JMLR 2020 Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation ICLR 2020 Doubly robust off-policy evaluation with shrinkage ICML 2020 Doubly Sparse Variational Gaussian Processes AISTATS 2020 Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables ICML 2020 Do We Need Zero Training Loss After Achieving Zero Training Error? ICML 2020 Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods ACL 2020 Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks ICLR 2020