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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)

Causal Q-Aggregation for CATE Model Selection AISTATS 2024 Causal-StoNet: Causal Inference for High-Dimensional Complex Data ICLR 2024 Causal Strategic Learning with Competitive Selection AAAI 2024 Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions ICLR 2024 Causal vs. Anticausal merging of predictors NeurIPS 2024 CausVSR: Causality Inspired Visual Sentiment Recognition IJCAI 2024 Cautionary Tales on Synthetic Controls in Survival Analyses CLeaR 2024 CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design AAAI 2024 CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization NAACL 2024 CeeBERT: Cross-Domain Inference in Early Exit BERT ACL 2024 CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems AAAI 2024 CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NeurIPS 2024 Centralized Selection with Preferences in the Presence of Biases ICML 2024 Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications AISTATS 2024 Centroid-Based Efficient Minimum Bayes Risk Decoding ACL 2024 CEPT: A Contrast-Enhanced Prompt-Tuning Framework for Emotion Recognition in Conversation COLING 2024 CERT-ED: Certifiably Robust Text Classification for Edit Distance EMNLP 2024 Certifiably Byzantine-Robust Federated Conformal Prediction ICML 2024 Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks ICLR 2024 Certified Machine Unlearning via Noisy Stochastic Gradient Descent NeurIPS 2024 Certified Policy Verification and Synthesis for MDPs under Distributional Reach-Avoidance Properties IJCAI 2024 Certified private data release for sparse Lipschitz functions AISTATS 2024 CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning AAAI 2024 CF-OPT: Counterfactual Explanations for Structured Prediction ICML 2024 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024