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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)

Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements CVPR 2024 Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model JMLR 2024 Statistical and Causal Robustness for Causal Null Hypothesis Tests UAI 2024 Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NeurIPS 2024 Statistical-Computational Trade-offs for Density Estimation NeurIPS 2024 Statistical curriculum learning: An elimination algorithm achieving an oracle risk COLT 2024 Statistical Efficiency of Distributional Temporal Difference Learning NeurIPS 2024 Statistical Inference for Fairness Auditing JMLR 2024 Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution ICML 2024 Statistical Multicriteria Benchmarking via the GSD-Front NeurIPS 2024 Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024 Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts ICLR 2024 Statistical Properties of Robust Satisficing ICML 2024 Statistical Query Lower Bounds for Learning Truncated Gaussians COLT 2024 Statistical Uncertainty in Word Embeddings: GloVe-V EMNLP 2024 Stealthy Imitation: Reward-guided Environment-free Policy Stealing ICML 2024 Stein Variational Ergodic Search RSS 2024 Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter? EMNLP 2024 Step-level Value Preference Optimization for Mathematical Reasoning EMNLP 2024 Stepping Forward on the Last Mile NeurIPS 2024 Stepping on the Edge: Curvature Aware Learning Rate Tuners NeurIPS 2024 Stepwise Alignment for Constrained Language Model Policy Optimization NeurIPS 2024 Stereo Risk: A Continuous Modeling Approach to Stereo Matching ICML 2024 Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution NeurIPS 2024 Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024