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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)

From Predictions to Decisions: Using Lookahead Regularization NeurIPS 2020 From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models ICML 2020 FrugalML: How to use ML Prediction APIs more accurately and cheaply NeurIPS 2020 Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs AISTATS 2020 Fully Parallel Hyperparameter Search: Reshaped Space-Filling ICML 2020 Functional Gradient Boosting for Learning Residual-like Networks with Statistical Guarantees AISTATS 2020 Functional vs. parametric equivalence of ReLU networks ICLR 2020 Fundamental Frequency Model for Postfiltering at Low Bitrates in a Transform-Domain Speech and Audio Codec Interspeech 2020 Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations ICML 2020 GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020 Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling AISTATS 2020 GAIT: A Geometric Approach to Information Theory AISTATS 2020 GAIT-prop: A biologically plausible learning rule derived from backpropagation of error NeurIPS 2020 Gamification of Pure Exploration for Linear Bandits ICML 2020 Gap-Aware Mitigation of Gradient Staleness ICLR 2020 GaSPing for Utility AAAI 2020 Gated Convolutional Networks with Hybrid Connectivity for Image Classification AAAI 2020 Gauntlet: Finding Bugs in Compilers for Programmable Packet Processing OSDI 2020 Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective NeurIPS 2020 Gaussian-Smoothed Optimal Transport: Metric Structure and Statistical Efficiency AISTATS 2020 Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data PGM 2020 GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs NeurIPS 2020 gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors CVPR 2020 General Control Functions for Causal Effect Estimation from IVs NeurIPS 2020 Generalisation error in learning with random features and the hidden manifold model ICML 2020