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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)

Ranking Data with Continuous Labels through Oriented Recursive Partitions NeurIPS 2017 Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models AISTATS 2017 Rates of estimation for determinantal point processes COLT 2017 Rational Distortions of Learners’ Linguistic Input CoNLL 2017 Real-Time Bidding with Side Information NeurIPS 2017 Real-Time Modulation Enhancement of Temporal Envelopes for Increasing Speech Intelligibility Interspeech 2017 REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models NeurIPS 2017 Recall is the Proper Evaluation Metric for Word Segmentation IJCNLP 2017 Recognizing Top-Monotonic Preference Profiles in Polynomial Time IJCAI 2017 Recovery Guarantees for One-hidden-layer Neural Networks ICML 2017 Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping Interspeech 2017 Recursive Sampling for the Nystrom Method NeurIPS 2017 Recycling Privileged Learning and Distribution Matching for Fairness NeurIPS 2017 Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning ICML 2017 Reducing Reparameterization Gradient Variance NeurIPS 2017 Reduction Techniques for Model Checking and Learning in MDPs IJCAI 2017 Refinery: An Open Source Topic Modeling Web Platform JMLR 2017 Reformulating Queries: Theory and Practice IJCAI 2017 Regional Concept Drift Detection and Density Synchronized Drift Adaptation IJCAI 2017 Regret Bounds for Lifelong Learning AISTATS 2017 Regret Bounds for Transfer Learning in Bayesian Optimisation AISTATS 2017 Regret for Expected Improvement over the Best-Observed Value and Stopping Condition ACML 2017 Regret Minimization in Behaviorally-Constrained Zero-Sum Games ICML 2017 Regularising Non-linear Models Using Feature Side-information ICML 2017 Regularization and the small-ball method II: complexity dependent error rates JMLR 2017