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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)

Code-Aware Cross-Program Transfer Hyperparameter Optimization AAAI 2023 CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation ACL 2023 CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift NeurIPS 2023 Coherence Estimation Tracks Auditory Attention in Listeners with Hearing Impairment Interspeech 2023 Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates ICML 2023 CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NeurIPS 2023 Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023 ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning ACL 2023 Collaborative Learning via Prediction Consensus NeurIPS 2023 CoLLiE: Collaborative Training of Large Language Models in an Efficient Way EMNLP 2023 Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty AISTATS 2023 Collusion-Proof and Sybil-Proof Reward Mechanisms for Query Incentive Networks AAAI 2023 Color Backdoor: A Robust Poisoning Attack in Color Space CVPR 2023 Combating Exacerbated Heterogeneity for Robust Models in Federated Learning ICLR 2023 Combating Mode Collapse via Offline Manifold Entropy Estimation AAAI 2023 Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment AAAI 2023 Combinatorial Neural Bandits ICML 2023 Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models ICLR 2023 Combinatorial Pure Exploration of Causal Bandits ICLR 2023 Combining Slow and Fast: Complementary Filtering for Dynamics Learning AAAI 2023 CoMFLP: Correlation Measure Based Fast Search on ASR Layer Pruning Interspeech 2023 Common Knowledge of Abstract Groups AAAI 2023 Common Law Annotations: Investigating the Stability of Dialog System Output Annotations ACL 2023 Communication-Constrained Bandits under Additive Gaussian Noise ICML 2023 Communication-Efficient Collaborative Best Arm Identification AAAI 2023