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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)

Entropy-MCMC: Sampling from Flat Basins with Ease ICLR 2024 Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees AAAI 2024 Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024 EPVerifier: Accelerating Update Storms Verification with Edge-Predicate NSDI 2024 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024 Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context AAAI 2024 Equivalence Testing: The Power of Bounded Adaptivity AISTATS 2024 Equivariant bootstrapping for uncertainty quantification in imaging inverse problems AISTATS 2024 Equivariant Deep Weight Space Alignment ICML 2024 Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters NeurIPS 2024 Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation NeurIPS 2024 ERQ: Error Reduction for Post-Training Quantization of Vision Transformers ICML 2024 Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game NeurIPS 2024 Error-aware Sampling in Adaptive Shells for Neural Surface Reconstruction IJCAI 2024 Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024 Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods L4DC 2024 Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View NeurIPS 2024 Error Feedback Can Accurately Compress Preconditioners ICML 2024 Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants ICLR 2024 Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models ICLR 2024 Errors are Robustly Tamed in Cumulative Knowledge Processes COLT 2024 Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning ICLR 2024 Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024 ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers EMNLP 2024 EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving CoRL 2024