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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)

Initialization of ReLUs for Dynamical Isometry NeurIPS 2019 Initialized Equilibrium Propagation for Backprop-Free Training ICLR 2019 Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets NAACL 2019 Input-Output Equivalence of Unitary and Contractive RNNs NeurIPS 2019 Integer Discrete Flows and Lossless Compression NeurIPS 2019 Integrating Knowledge and Reasoning in Image Understanding IJCAI 2019 Integrating Learning with Game Theory for Societal Challenges IJCAI 2019 Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems NeurIPS 2019 Integrating Pseudo-Boolean Constraint Reasoning in Multi-Objective Evolutionary Algorithms IJCAI 2019 Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process NAACL 2019 Intelligent Decision Support for Improving Power Management IJCAI 2019 Interaction-Aware Factorization Machines for Recommender Systems AAAI 2019 Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks AISTATS 2019 InteractionNN: A Neural Network for Learning Hidden Features in Sparse Prediction IJCAI 2019 Inter-Class Angular Loss for Convolutional Neural Networks AAAI 2019 Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem NeurIPS 2019 Interlaced Greedy Algorithm for Maximization of Submodular Functions in Nearly Linear Time NeurIPS 2019 Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms AAAI 2019 Interplay of minimax estimation and minimax support recovery under sparsity ALT 2019 Interpolated Spectral NGram Language Models ACL 2019 Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019 Interpretable Predictive Modeling for Climate Variables with Weighted Lasso AAAI 2019 Interpretable Word Embeddings via Informative Priors EMNLP 2019 Interpreting and Evaluating Neural Network Robustness IJCAI 2019 Interpreting Black Box Predictions using Fisher Kernels AISTATS 2019