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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)

CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation AAAI 2024 Chain of Thought Empowers Transformers to Solve Inherently Serial Problems ICLR 2024 Chain of Thoughtlessness? An Analysis of CoT in Planning NeurIPS 2024 Chain-of-Thought Reasoning Without Prompting NeurIPS 2024 Challenges and Considerations in the Evaluation of Bayesian Causal Discovery ICML 2024 Challenges in Training PINNs: A Loss Landscape Perspective ICML 2024 Challenges of German Speech Recognition: A Study on Multi-ethnolectal Speech Among Adolescents Interspeech 2024 Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective ACL 2024 Challenging margin-based speaker embedding extractors by using the variational information bottleneck Interspeech 2024 Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization NeurIPS 2024 ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction NeurIPS 2024 Characterization of Large Language Model Development in the Datacenter NSDI 2024 Characterizing ResNet’s Universal Approximation Capability ICML 2024 Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics EACL 2024 ChatMusician: Understanding and Generating Music Intrinsically with LLM ACL 2024 Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024 Choose the Final Translation from NMT and LLM Hypotheses Using MBR Decoding: HW-TSC’s Submission to the WMT24 General MT Shared Task EMNLP 2024 Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks ACL 2024 Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria JMLR 2024 Choosing the p in Lp Loss: Adaptive Rates for Symmetric Mean Estimation COLT 2024 Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence CoNLL 2024 ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition ACL 2024 CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis ICLR 2024 Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning CVPR 2024 CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling EMNLP 2024