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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)

Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model NeurIPS 2019 Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee AAAI 2019 Whisper to Neutral Mapping Using Cosine Similarity Maximization in i-Vector Space for Speaker Verification Interspeech 2019 White-box vs Black-box: Bayes Optimal Strategies for Membership Inference ICML 2019 Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models NeurIPS 2019 Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem ICML 2019 Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem CVPR 2019 Wide-Coverage Neural A* Parsing for Minimalist Grammars ACL 2019 Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes NeurIPS 2019 Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent NeurIPS 2019 Width Provably Matters in Optimization for Deep Linear Neural Networks ICML 2019 Word2Sense: Sparse Interpretable Word Embeddings ACL 2019 Word Embedding as Maximum A Posteriori Estimation AAAI 2019 Word Familiarity Rate Estimation Using a Bayesian Linear Mixed Model EMNLP 2019 Worst-Case Regret Bounds for Exploration via Randomized Value Functions NeurIPS 2019 X-DMM: Fast and Scalable Model Based Text Clustering AAAI 2019 XNAS: Neural Architecture Search with Expert Advice NeurIPS 2019 You Look Twice: GaterNet for Dynamic Filter Selection in CNNs CVPR 2019 You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle NeurIPS 2019 Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance ICML 2019 Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization IJCAI 2019 ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization NeurIPS 2019 Zooming in on Spatiotemporal V-to-C Coarticulation with Functional PCA Interspeech 2019 D^2: Decentralized Training over Decentralized Data ICML 2018 ℓ_1 Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent COLT 2018