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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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828
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2000
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Papers (including subtopics)

Vowel Space as a Tool to Evaluate Articulation Problems Interspeech 2018 Wasserstein Distributionally Robust Kalman Filtering NeurIPS 2018 Wasserstein Introspective Neural Networks CVPR 2018 Wasserstein Variational Inference NeurIPS 2018 Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy? ICML 2018 Weighted SGD for ℓ_p Regression with Randomized Preconditioning JMLR 2018 What Do Classifiers Actually Learn? a Case Study on Emotion Recognition Datasets Interspeech 2018 What Have We Learned From Deep Representations for Action Recognition? CVPR 2018 What Makes Reading Comprehension Questions Easier? EMNLP 2018 What to Expect from Expected Kneser-Ney Smoothing Interspeech 2018 What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties ACL 2018 When data permutations are pathological: the case of neural natural language inference EMNLP 2018 When does deep multi-task learning work for loosely related document classification tasks? EMNLP 2018 When do random forests fail? NeurIPS 2018 When is a Convolutional Filter Easy to Learn? ICLR 2018 When Rigging a Tournament, Let Greediness Blind You IJCAI 2018 Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior NeurIPS 2018 Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients? NeurIPS 2018 Which Training Methods for GANs do actually Converge? ICML 2018 Whispered Speech to Neutral Speech Conversion Using Bidirectional LSTMs Interspeech 2018 Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? PGM 2018 Who Said That? a Comparative Study of Non-negative Matrix Factorization Techniques Interspeech 2018 Why Adaptively Collected Data Have Negative Bias and How to Correct for It AISTATS 2018 Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots EMNLP 2018 Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection COLING 2018