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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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2000
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Papers (including subtopics)

β-DPO: Direct Preference Optimization with Dynamic β NeurIPS 2024 $\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling NeurIPS 2024 $C^2M^3$: Cycle-Consistent Multi-Model Merging NeurIPS 2024 ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NeurIPS 2024 f-Divergence Based Classification: Beyond the Use of Cross-Entropy ICML 2024 H-Consistency Guarantees for Regression ICML 2024 VITS : Variational Inference Thompson Sampling for contextual bandits ICML 2024 t^3-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence ICLR 2024 Õ(T^-1) Convergence to (coarse) correlated equilibria in full-information general-sum Markov games L4DC 2024 1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking IJCAI 2024 1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness CVPR 2024 2D-OOB: Attributing Data Contribution Through Joint Valuation Framework NeurIPS 2024 3D Gaussian Splatting as Markov Chain Monte Carlo NeurIPS 2024 3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization NeurIPS 2024 4+3 Phases of Compute-Optimal Neural Scaling Laws NeurIPS 2024 4-bit Shampoo for Memory-Efficient Network Training NeurIPS 2024 A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings NeurIPS 2024 A Bayesian Approach to Data Point Selection NeurIPS 2024 A Bayesian Approach to Online Planning ICML 2024 A Bayesian Approach to OOD Robustness in Image Classification CVPR 2024 A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024 Abductive Reasoning in Logical Credal Networks NeurIPS 2024 A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points IJCAI 2024 A Benchmark Study on Calibration ICLR 2024 A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets NeurIPS 2024