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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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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Can semi-supervised learning use all the data effectively? A lower bound perspective NeurIPS 2023 Can We Find Nash Equilibria at a Linear Rate in Markov Games? ICLR 2023 Can We Find Strong Lottery Tickets in Generative Models? AAAI 2023 Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization IJCAI 2023 CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation NeurIPS 2023 Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments NeurIPS 2023 Cascading Contextual Assortment Bandits NeurIPS 2023 CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract) AAAI 2023 Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023 Causal Bandits for Linear Structural Equation Models JMLR 2023 Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention IJCAI 2023 Causal Component Analysis NeurIPS 2023 Causal-DFQ: Causality Guided Data-Free Network Quantization ICCV 2023 Causal Discovery with Score Matching on Additive Models with Arbitrary Noise CLeaR 2023 Causal effect estimation from observational and interventional data through matrix weighted linear estimators UAI 2023 Causal Effect Identification in Uncertain Causal Networks NeurIPS 2023 Causal Entropy Optimization AISTATS 2023 Causal Isotonic Calibration for Heterogeneous Treatment Effects ICML 2023 Causal Modeling of Policy Interventions From Treatment-Outcome Sequences ICML 2023 Causal Signal-Based DCCRN with Overlapped-Frame Prediction for Online Speech Enhancement Interspeech 2023 CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation NSDI 2023 Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing NeurIPS 2023 CBA: Improving Online Continual Learning via Continual Bias Adaptor ICCV 2023 CBD: A Certified Backdoor Detector Based on Local Dominant Probability NeurIPS 2023 CCEval: A Representative Evaluation Benchmark for the Chinese-centric Multilingual Machine Translation EMNLP 2023