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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)

Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts ICLR 2023 Black-Box Differential Privacy for Interactive ML NeurIPS 2023 Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation CVPR 2023 Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts L4DC 2023 Blank Collapse: Compressing CTC Emission for the Faster Decoding Interspeech 2023 B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding ICML 2023 BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training ACL 2023 BLM-AgrF: A New French Benchmark to Investigate Generalization of Agreement in Neural Networks EACL 2023 Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference ICLR 2023 Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization NeurIPS 2023 Block Selection Method for Using Feature Norm in Out-of-Distribution Detection CVPR 2023 Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization ICML 2023 Blossom: an Anytime Algorithm for Computing Optimal Decision Trees ICML 2023 Blurring Diffusion Models ICLR 2023 BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming ICML 2023 BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases ACL 2023 Bolt: Sub-RTT Congestion Control for Ultra-Low Latency NSDI 2023 Boosted Dynamic Neural Networks AAAI 2023 Boosted Off-Policy Learning AISTATS 2023 Boosting Adversarial Transferability by Achieving Flat Local Maxima NeurIPS 2023 Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO UAI 2023 Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors IJCAI 2023 Boosting Learning for LDPC Codes to Improve the Error-Floor Performance NeurIPS 2023 Boosting Multi-modal Model Performance with Adaptive Gradient Modulation ICCV 2023 Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations AAAI 2023