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)

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance EMNLP 2022 PAC Learning of Quantum Measurement Classes : Sample Complexity Bounds and Universal Consistency AISTATS 2022 PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime AISTATS 2022 PAC Mode Estimation using PPR Martingale Confidence Sequences AISTATS 2022 PAC Prediction Sets for Meta-Learning NeurIPS 2022 PAC Prediction Sets Under Covariate Shift ICLR 2022 PAC Top-k Identification under SST in Limited Rounds AISTATS 2022 PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation ICML 2022 PAI at SemEval-2022 Task 11: Name Entity Recognition with Contextualized Entity Representations and Robust Loss Functions SemEval 2022 Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding ICML 2022 Pairwise Fairness for Ordinal Regression AISTATS 2022 Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network NeurIPS 2022 Para-CFlows: C^k-universal diffeomorphism approximators as superior neural surrogates NeurIPS 2022 Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition Interspeech 2022 Parallel MCMC Without Embarrassing Failures AISTATS 2022 Parallel Tempering With a Variational Reference NeurIPS 2022 Parameter Differentiation Based Multilingual Neural Machine Translation AAAI 2022 Parameter-Efficient Sparsity for Large Language Models Fine-Tuning IJCAI 2022 Parameter-free Mirror Descent COLT 2022 Parameter-free Regret in High Probability with Heavy Tails NeurIPS 2022 Parameterized Completeness Results for Bayesian Inference PGM 2022 Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference NeurIPS 2022 Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation NeurIPS 2022 Parametric Bootstrap for Differentially Private Confidence Intervals AISTATS 2022 Parametric Scattering Networks CVPR 2022