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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)

Finding Optimal Bayesian Networks with Local Structure PGM 2018 Finding syntax in human encephalography with beam search ACL 2018 Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018 Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning COLT 2018 First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time NeurIPS 2018 Fixing a Broken ELBO ICML 2018 FLAG n’ FLARE: Fast Linearly-Coupled Adaptive Gradient Methods AISTATS 2018 Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches ICLR 2018 Formal Analysis of Deep Binarized Neural Networks IJCAI 2018 Formal Verification of Bayesian Network Classifiers PGM 2018 Forward-Backward Splitting for Time-Varying Graphical Models PGM 2018 Frank-Wolfe Splitting via Augmented Lagrangian Method AISTATS 2018 Frank-Wolfe with Subsampling Oracle ICML 2018 Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit EMNLP 2018 From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction ACL 2018 From Predictive Methods to Missing Data Imputation: An Optimization Approach JMLR 2018 From Stochastic Planning to Marginal MAP NeurIPS 2018 From Strings to Other Things: Linking the Neighborhood and Transposition Effects in Word Reading CoNLL 2018 From the Periphery to the Core: Information Brokerage in an Evolving Network IJCAI 2018 Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery Interspeech 2018 Fully Understanding The Hashing Trick NeurIPS 2018 Fundamental Limits of Weak Recovery with Applications to Phase Retrieval COLT 2018 Game-Based Video-Context Dialogue EMNLP 2018 Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence NeurIPS 2018 Gaussian Lower Bound for the Information Bottleneck Limit JMLR 2018