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)

Making the most of your day: online learning for optimal allocation of time NeurIPS 2021 MALI: A memory efficient and reverse accurate integrator for Neural ODEs ICLR 2021 Manifold Topology Divergence: a Framework for Comparing Data Manifolds. NeurIPS 2021 Many-Speakers Single Channel Speech Separation with Optimal Permutation Training Interspeech 2021 Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data ICML 2021 Marginalised Gaussian Processes with Nested Sampling NeurIPS 2021 Marginalized Stochastic Natural Gradients for Black-Box Variational Inference ICML 2021 Margin of Victory in Tournaments: Structural and Experimental Results AAAI 2021 MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021 Marius: Learning Massive Graph Embeddings on a Single Machine OSDI 2021 MARS: Markov Molecular Sampling for Multi-objective Drug Discovery ICLR 2021 Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little EMNLP 2021 Masksembles for Uncertainty Estimation CVPR 2021 MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers NeurIPS 2021 Maximal ancestral graph structure learning via exact search UAI 2021 Maximal Clique Based Non-Autoregressive Open Information Extraction EMNLP 2021 Maximal Couplings of the Metropolis-Hastings Algorithm AISTATS 2021 Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control L4DC 2021 Maximum Likelihood Training of Score-Based Diffusion Models NeurIPS 2021 Maximum Mean Discrepancy Test is Aware of Adversarial Attacks ICML 2021 Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations ACML 2021 MCMC Variational Inference via Uncorrected Hamiltonian Annealing NeurIPS 2021 Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination NeurIPS 2021 Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward IJCAI 2021 Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021