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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)

Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line NeurIPS 2024 Test-Time Dynamic Image Fusion NeurIPS 2024 Test-Time Linear Out-of-Distribution Detection CVPR 2024 Test-Time Model Adaptation with Only Forward Passes ICML 2024 TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video CVPR 2024 TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction ACL 2024 Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval CVPR 2024 Textual Coverage of Eventive Entries in Lexical Semantic Resources COLING 2024 TFWT: Tabular Feature Weighting with Transformer IJCAI 2024 THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression NSDI 2024 The 2024 ReproNLP Shared Task on Reproducibility of Evaluations in NLP: Overview and Results COLING 2024 The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models EMNLP 2024 The Alignment Problem from a Deep Learning Perspective ICLR 2024 The Attractor of the Replicator Dynamic in Zero-Sum Games ALT 2024 The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance EMNLP 2024 The Bayesian sampling in a canonical recurrent circuit with a diversity of inhibitory interneurons NeurIPS 2024 The Bedrock of Byzantine Fault Tolerance: A Unified Platform for BFT Protocols Analysis, Implementation, and Experimentation NSDI 2024 The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents ICML 2024 The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed Bandits COLT 2024 The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NeurIPS 2024 The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing ICLR 2024 The Causal Impact of Credit Lines on Spending Distributions AAAI 2024 The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NeurIPS 2024 The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NeurIPS 2024 The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize NeurIPS 2024