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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)

An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming ICML 2021 A Neural Network Auction For Group Decision Making Over a Continuous Space IJCAI 2021 An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning NeurIPS 2021 A New Objective for Identification of Partially Observed Linear Time-Invariant Dynamical Systems from Input-Output Data L4DC 2021 A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021 An Exact Characterization of the Generalization Error for the Gibbs Algorithm NeurIPS 2021 An exact solver for the Weston-Watkins SVM subproblem ICML 2021 An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks NeurIPS 2021 An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap NeurIPS 2021 Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model AISTATS 2021 An Importance Weighted Feature Selection Stability Measure JMLR 2021 An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders NeurIPS 2021 An Improved Analysis of Gradient Tracking for Decentralized Machine Learning NeurIPS 2021 An Improved Single Step Non-Autoregressive Transformer for Automatic Speech Recognition Interspeech 2021 An Inertial Newton Algorithm for Deep Learning JMLR 2021 An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NeurIPS 2021 An Information-Geometric Distance on the Space of Tasks ICML 2021 An Information-theoretic Approach to Distribution Shifts NeurIPS 2021 An Information-Theoretic Framework for Unifying Active Learning Problems AAAI 2021 An Integer Linear Programming Framework for Mining Constraints from Data ICML 2021 An MRF-UNet Product of Experts for Image Segmentation MIDL 2021 Annealed Flow Transport Monte Carlo ICML 2021 A No-go Theorem for Robust Acceleration in the Hyperbolic Plane NeurIPS 2021 A Non-Linear Structural Probe NAACL 2021 An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives NeurIPS 2021