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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)

GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training NeurIPS 2018 GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks ICML 2018 Graph-Cut RANSAC CVPR 2018 Graphical model inference: Sequential Monte Carlo meets deterministic approximations NeurIPS 2018 Graphical Nonconvex Optimization via an Adaptive Convex Relaxation ICML 2018 Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization NeurIPS 2018 Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions ICML 2018 Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN NeurIPS 2018 Gromov-Wasserstein Alignment of Word Embedding Spaces EMNLP 2018 Group Invariance Principles for Causal Generative Models AISTATS 2018 Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization AISTATS 2018 Guide Actor-Critic for Continuous Control ICLR 2018 Handling implicit and explicit constraints in manipulation planning RSS 2018 Handling Uncertainty in Recommender Systems under the Belief Function Theory IJCAI 2018 Hardness of Learning Noisy Halfspaces using Polynomial Thresholds COLT 2018 Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery JMLR 2018 Hessian-based Analysis of Large Batch Training and Robustness to Adversaries NeurIPS 2018 Heterogeneous Multi-output Gaussian Process Prediction NeurIPS 2018 Hidden Integrality of SDP Relaxations for Sub-Gaussian Mixture Models COLT 2018 Hierarchical Clustering with Structural Constraints ICML 2018 Hierarchical CVAE for Fine-Grained Hate Speech Classification EMNLP 2018 Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain EMNLP 2018 Hierarchical Recurrent Neural Networks for Acoustic Modeling Interspeech 2018 Hierarchical Representations for Efficient Architecture Search ICLR 2018 High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups AISTATS 2018