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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)

Equal Improvability: A New Fairness Notion Considering the Long-term Impact ICLR 2023 Equilibria of Fully Decentralized Learning in Networked Systems L4DC 2023 Equilibrium Point Learning ACML 2023 Equivariance-aware Architectural Optimization of Neural Networks ICLR 2023 Equivariance with Learned Canonicalization Functions ICML 2023 Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning ICLR 2023 Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics NeurIPS 2023 Equivariant Polynomials for Graph Neural Networks ICML 2023 Equivariant Single View Pose Prediction Via Induced and Restriction Representations NeurIPS 2023 ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer CVPR 2023 Erratum: Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2023 Error Bounds for Learning with Vector-Valued Random Features NeurIPS 2023 Error Estimation for Random Fourier Features AISTATS 2023 Error in the Euclidean Preference Model IJCAI 2023 Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023 Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering JMLR 2023 ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret ICLR 2023 ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure ICLR 2023 ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit ACL 2023 Establishing Markov equivalence in cyclic directed graphs UAI 2023 Estimating Average Causal Effects from Patient Trajectories AAAI 2023 Estimating Causal Effects Identifiable from a Combination of Observations and Experiments NeurIPS 2023 Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023 Estimating Noise Correlations Across Continuous Conditions With Wishart Processes NeurIPS 2023 Estimating Possible Causal Effects with Latent Variables via Adjustment ICML 2023