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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

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Papers (including subtopics)

Thinned random measures for sparse graphs with overlapping communities NeurIPS 2022 This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish NeurIPS 2022 Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control COLT 2022 Thompson Sampling for Bandit Learning in Matching Markets IJCAI 2022 Thompson Sampling for (Combinatorial) Pure Exploration ICML 2022 Thompson Sampling with a Mixture Prior AISTATS 2022 Three rates of convergence or separation via U-statistics in a dependent framework JMLR 2022 Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points ICML 2022 Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract) AAAI 2022 Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems NeurIPS 2022 Tight Bounds for Hybrid Planning IJCAI 2022 Tight bounds for minimum ℓ_1-norm interpolation of noisy data AISTATS 2022 Tighter Sparse Approximation Bounds for ReLU Neural Networks ICLR 2022 Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes NeurIPS 2022 Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization NeurIPS 2022 Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations AAAI 2022 Tight query complexity bounds for learning graph partitions COLT 2022 Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints NeurIPS 2022 Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation AISTATS 2022 Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NeurIPS 2022 Time Varying Regression with Hidden Linear Dynamics L4DC 2022 TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network Interspeech 2022 tntorch: Tensor Network Learning with PyTorch JMLR 2022 TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed CVPR 2022 Together about Dementia IJCAI 2022