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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)

Sidekick: In-Network Assistance for Secure End-to-End Transport Protocols NSDI 2024 Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts NeurIPS 2024 Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following L4DC 2024 Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network ICML 2024 Sign Rank Limitations for Inner Product Graph Decoders ICML 2024 Sign Value Constraint Decomposition for Efficient 1-Bit Quantization of Speech Translation Tasks Interspeech 2024 SILVER: Single-loop variance reduction and application to federated learning ICML 2024 Simple Cycle Reservoirs are Universal JMLR 2024 Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity ICLR 2024 Simple online learning with consistent oracle COLT 2024 Simple Orthogonal Graph Representation Learning (Student Abstract) AAAI 2024 Simple Weak Coresets for Non-decomposable Classification Measures AAAI 2024 Simplicity Bias in Overparameterized Machine Learning AAAI 2024 Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data ICML 2024 Simplicity Bias via Global Convergence of Sharpness Minimization ICML 2024 Simplifying Latent Dynamics with Softly State-Invariant World Models NeurIPS 2024 Simpson’s Paradox and the Accuracy-Fluency Tradeoff in Translation ACL 2024 Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint) AAAI 2024 Simulation-Based Inference with Quantile Regression ICML 2024 Simulation-Based Stacking AISTATS 2024 Simulation-Free Training of Neural ODEs on Paired Data NeurIPS 2024 Simulation of Graph Algorithms with Looped Transformers ICML 2024 SimulSeamless: FBK at IWSLT 2024 Simultaneous Speech Translation ACL 2024 Simultaneous identification of models and parameters of scientific simulators ICML 2024 Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms AAAI 2024