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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)

Estimating the Number and Effect Sizes of Non-null Hypotheses ICML 2020 Estimating Training Data Influence by Tracing Gradient Descent NeurIPS 2020 Estimating weighted areas under the ROC curve NeurIPS 2020 Estimation of Skill Distribution from a Tournament NeurIPS 2020 Estimation Rates for Sparse Linear Cyclic Causal Models UAI 2020 Evaluating and Characterizing Human Rationales EMNLP 2020 Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions NeurIPS 2020 Evaluating Compositionality of Sentence Representation Models ACL 2020 Evaluating Lossy Compression Rates of Deep Generative Models ICML 2020 Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020 Evaluating Natural Language Generation via Unbalanced Optimal Transport IJCAI 2020 Evaluating Robustness to Input Perturbations for Neural Machine Translation ACL 2020 Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction EMNLP 2020 Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks EMNLP 2020 Evaluating The Search Phase of Neural Architecture Search ICLR 2020 Event-Driven Continuous Time Bayesian Networks AAAI 2020 Evolutionary Topology Search for Tensor Network Decomposition ICML 2020 Evolved Speech-Transformer: Applying Neural Architecture Search to End-to-End Automatic Speech Recognition Interspeech 2020 Evolving Normalization-Activation Layers NeurIPS 2020 Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm AAAI 2020 Exact expressions for double descent and implicit regularization via surrogate random design NeurIPS 2020 Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis JMLR 2020 Exactly Computing the Local Lipschitz Constant of ReLU Networks NeurIPS 2020 Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks ACML 2020 Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation ACL 2020