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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)

Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023 Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach AISTATS 2023 Bayesian Optimization with Conformal Prediction Sets AISTATS 2023 Bayesian Optimization with Cost-varying Variable Subsets NeurIPS 2023 Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants IJCAI 2023 Bayesian Oracle for bounding information gain in neural encoding models ICLR 2023 Bayesian Posterior Approximation With Stochastic Ensembles CVPR 2023 Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models ICML 2023 Bayesian Risk-Averse Q-Learning with Streaming Observations NeurIPS 2023 Bayesian Spiked Laplacian Graphs JMLR 2023 Bayesian Strategy-Proof Facility Location via Robust Estimation AISTATS 2023 Bayesian Structure Scores for Probabilistic Circuits AISTATS 2023 Bayesian Variable Selection in a Million Dimensions AISTATS 2023 Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images ICLR 2023 Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees JMLR 2023 Bayes-optimal Learning of Deep Random Networks of Extensive-width ICML 2023 Bayes Risk Transducer: Transducer with Controllable Alignment Prediction Interspeech 2023 BayesTune: Bayesian Sparse Deep Model Fine-tuning NeurIPS 2023 Beam Search Optimized Batch Bayesian Active Learning AAAI 2023 Beatboxing Kick Drum Kinematics Interspeech 2023 Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition ICLR 2023 BeliefPPG: Uncertainty-aware heart rate estimation from PPG signals via belief propagation UAI 2023 Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback NeurIPS 2023 Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders JMLR 2023 Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples ICCV 2023