Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory AAAI 2024 Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024 Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation COLT 2024 Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection WACV 2024 Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization NeurIPS 2024 Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling ICML 2024 Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs. EMNLP 2024 Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion CVPR 2024 Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning ICML 2024 Beyond Memorization: The Challenge of Random Memory Access in Language Models ACL 2024 Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024 Beyond Optimism: Exploration With Partially Observable Rewards NeurIPS 2024 Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints NeurIPS 2024 Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models ACL 2024 Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints ICLR 2024 Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NeurIPS 2024 Beyond Slow Signs in High-fidelity Model Extraction NeurIPS 2024 Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants’ API Invocation Capabilities COLING 2024 Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods ICLR 2024 Beyond the Calibration Point: Mechanism Comparison in Differential Privacy ICML 2024 Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients ICML 2024 Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models IJCAI 2024 Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards EMNLP 2024 Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders ICLR 2024 Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness ICLR 2024