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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)

AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NeurIPS 2017 A Learning Error Analysis for Structured Prediction with Approximate Inference NeurIPS 2017 A Learning Theory of Ranking Aggregation AISTATS 2017 Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning COLT 2017 Algorithmic Stability and Hypothesis Complexity ICML 2017 Algorithms for ℓ_p Low-Rank Approximation ICML 2017 ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching NeurIPS 2017 A Linear-Time Kernel Goodness-of-Fit Test NeurIPS 2017 All You Need Is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks With Orthonormality and Modulation CVPR 2017 A Lower Bound on the Partition Function of Attractive Graphical Models in the Continuous Case AISTATS 2017 Alternating Estimation for Structured High-Dimensional Multi-Response Models NeurIPS 2017 Alternative Objective Functions for Training MT Evaluation Metrics ACL 2017 Alto: Rapid Prototyping for Parsing and Translation EACL 2017 A Matrix Splitting Method for Composite Function Minimization CVPR 2017 A Maximum Likelihood Approach to Deep Neural Network Based Nonlinear Spectral Mapping for Single-Channel Speech Separation Interspeech 2017 A Minimax Optimal Algorithm for Crowdsourcing NeurIPS 2017 A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds ALT 2017 A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017 An Adaptive Test of Independence with Analytic Kernel Embeddings ICML 2017 An Alternative Softmax Operator for Reinforcement Learning ICML 2017 Analytical Guarantees on Numerical Precision of Deep Neural Networks ICML 2017 Analyzing Tensor Power Method Dynamics in Overcomplete Regime JMLR 2017 An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis ICML 2017 An Effective Learnt Clause Minimization Approach for CDCL SAT Solvers IJCAI 2017 An Efficient Phone N-Gram Forward-Backward Computation Using Dense Matrix Multiplication Interspeech 2017