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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
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828
3,646
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2000
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Papers (including subtopics)

A Randomized Approach to Tight Privacy Accounting NeurIPS 2023 A Reduction-based Framework for Sequential Decision Making with Delayed Feedback NeurIPS 2023 Are Emergent Abilities of Large Language Models a Mirage? NeurIPS 2023 Are GATs Out of Balance? NeurIPS 2023 Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023 A Reinforcement Learning Framework for Dynamic Mediation Analysis ICML 2023 A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control L4DC 2023 Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. ICML 2023 A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs JMLR 2023 Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations ICML 2023 Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023 Are retroflex-to-dental sibilant substitutions in Polish children's speech an example of a covert contrast? A preliminary acoustic study Interspeech 2023 Are Sample-Efficient NLP Models More Robust? ACL 2023 Are Straight-Through Gradients and Soft-Thresholding All You Need for Sparse Training? WACV 2023 Are Transformers Effective for Time Series Forecasting? AAAI 2023 A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NeurIPS 2023 A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition JMLR 2023 A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods NeurIPS 2023 A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning IJCAI 2023 Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models ICML 2023 ARK: GPU-driven Code Execution for Distributed Deep Learning NSDI 2023 A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks ICML 2023 ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation ICCV 2023 A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty RSS 2023 A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP ICML 2023