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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)

CapsAndRuns: An Improved Method for Approximately Optimal Algorithm Configuration ICML 2019 Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit IJCAI 2019 Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding Interspeech 2019 Cascaded Projection: End-To-End Network Compression and Acceleration CVPR 2019 Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution NeurIPS 2019 Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning NeurIPS 2019 Categorized Bandits NeurIPS 2019 Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models ICML 2019 Causal Discovery in the Presence of Missing Data AISTATS 2019 Causal Inference Under Interference And Network Uncertainty UAI 2019 Causal Regularization NeurIPS 2019 Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints ICML 2019 Caveats for information bottleneck in deterministic scenarios ICLR 2019 CCMI : Classifier based Conditional Mutual Information Estimation UAI 2019 Cell-aware Stacked LSTMs for Modeling Sentences ACML 2019 Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback NeurIPS 2019 Certainty Equivalence is Efficient for Linear Quadratic Control NeurIPS 2019 Certified Adversarial Robustness with Additive Noise NeurIPS 2019 Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees AAAI 2019 CFM: Convolutional Factorization Machines for Context-Aware Recommendation IJCAI 2019 CFSNet: Toward a Controllable Feature Space for Image Restoration ICCV 2019 CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling AAAI 2019 Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations ICML 2019 ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation CVPR 2019 Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD ICML 2019