Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs ICML 2016 Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016 Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels NeurIPS 2016 Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning NeurIPS 2016 Minimax Rates in Permutation Estimation for Feature Matching JMLR 2016 Minimizing Annotation Effort for Adaptation of Speech-Activity Detection Systems Interspeech 2016 Minimizing Quadratic Functions in Constant Time NeurIPS 2016 Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NeurIPS 2016 Minimizing the Maximal Loss: How and Why ICML 2016 Minimum Regret Search for Single- and Multi-Task Optimization ICML 2016 Min Norm Point Algorithm for Higher Order MRF-MAP Inference CVPR 2016 Mistake Bounds for Binary Matrix Completion NeurIPS 2016 Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends ICML 2016 MLlib: Machine Learning in Apache Spark JMLR 2016 Model Adaptation and Active Learning in the BBN Speech Activity Detection System for the DARPA RATS Program Interspeech 2016 Model-Based Parametric Prosody Synthesis with Deep Neural Network Interspeech 2016 Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016 Model-free Variable Selection in Reproducing Kernel Hilbert Space JMLR 2016 Modeling topic dependencies in semantically coherent text spans with copulas COLING 2016 Model Integration for HMM- and DNN-Based Speech Synthesis Using Product-of-Experts Framework Interspeech 2016 Modelling Interactions in High-dimensional Data with Backtracking JMLR 2016 Mondrian Forests for Large-Scale Regression when Uncertainty Matters AISTATS 2016 Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes COLT 2016 More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning NeurIPS 2016 Multi-armed Bandits: Competing with Optimal Sequences NeurIPS 2016