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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)

Designing Robust Transformers using Robust Kernel Density Estimation NeurIPS 2023 Designing System Level Synthesis Controllers for Nonlinear Systems with Stability Guarantees L4DC 2023 DetAIL: A Tool to Automatically Detect and Analyze Drift in Language AAAI 2023 Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023 Detecting and Repairing Deviated Outputs of Compressed Models ACML 2023 Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency CVPR 2023 Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark ACL 2023 Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics UAI 2023 Detection-Recovery and Detection-Refutation Gaps via Reductions from Planted Clique COLT 2023 Detection-Recovery Gap for Planted Dense Cycles COLT 2023 Deterministic equivalent and error universality of deep random features learning ICML 2023 Deterministic Nonsmooth Nonconvex Optimization COLT 2023 DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training RSS 2023 Dexterous Functional Grasping CoRL 2023 DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline ICLR 2023 DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning NeurIPS 2023 Diacritic Recognition Performance in Arabic ASR Interspeech 2023 DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models EMNLP 2023 DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations ACL 2023 Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue ACL 2023 Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning ACL 2023 DIET: Conditional independence testing with marginal dependence measures of residual information AISTATS 2023 DiFA: Differentiable Feature Acquisition AAAI 2023 DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning ICML 2023 Diffeomorphic Image Registration With Neural Velocity Field WACV 2023