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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)

Calibrating Deep Neural Networks by Pairwise Constraints CVPR 2022 Calibrating Factual Knowledge in Pretrained Language Models EMNLP 2022 Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study EMNLP 2022 Calibrating Zero-shot Cross-lingual (Un-)structured Predictions EMNLP 2022 Calibration Error for Heterogeneous Treatment Effects AISTATS 2022 Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates EMNLP 2022 Calibration of Machine Reading Systems at Scale ACL 2022 Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation EMNLP 2022 Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective CVPR 2022 Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis AISTATS 2022 Can Push-forward Generative Models Fit Multimodal Distributions? NeurIPS 2022 Can Q-learning be Improved with Advice? COLT 2022 Can We Train a Language Model Inside an End-to-End ASR Model? - Investigating Effective Implicit Language Modeling COLING 2022 Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? ICLR 2022 Capturing Homomorphism-Closed Decidable Queries with Existential Rules (Extended Abstract) IJCAI 2022 Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning ICML 2022 CAT: Customized Adversarial Training for Improved Robustness IJCAI 2022 CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models AISTATS 2022 Causal Classification: Treatment Effect Estimation vs. Outcome Prediction JMLR 2022 Causal Conceptions of Fairness and their Consequences ICML 2022 Causal forecasting: generalization bounds for autoregressive models UAI 2022 Causally motivated shortcut removal using auxiliary labels AISTATS 2022 CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing EMNLP 2022 Causal Transportability for Visual Recognition CVPR 2022 Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations CLeaR 2022