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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)

The Shattered Gradients Problem: If resnets are the answer, then what is the question? ICML 2017 The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime COLT 2017 The Social Life of Setswana Ejectives Interspeech 2017 The Statistical Recurrent Unit ICML 2017 The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings NeurIPS 2017 Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017 Thresholding Bandits with Augmented UCB IJCAI 2017 Thresholding Based Outlier Robust PCA COLT 2017 Tight Bounds for Approximate Carathéodory and Beyond ICML 2017 Tight Bounds for Bandit Combinatorial Optimization COLT 2017 Tight Bounds on ℓ_1 Approximation and Learning of Self-Bounding Functions ALT 2017 Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality JMLR 2017 Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis JMLR 2017 To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories Interspeech 2017 Tomography of the London Underground: a Scalable Model for Origin-Destination Data NeurIPS 2017 Top-k Supervise Feature Selection via ADMM for Integer Programming IJCAI 2017 Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation CoNLL 2017 To See or not to See: Interlocutor Visibility and Likeability Influence Convergence in Intonation Interspeech 2017 Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging IJCNLP 2017 Towards Decoding as Continuous Optimisation in Neural Machine Translation EMNLP 2017 Towards Generalization and Simplicity in Continuous Control NeurIPS 2017 Towards Instance Optimal Bounds for Best Arm Identification COLT 2017 Towards Lower Bounds on Number of Dimensions for Word Embeddings IJCNLP 2017 Towards Quantum Language Models EMNLP 2017 Towards Understanding the Invertibility of Convolutional Neural Networks IJCAI 2017