conftrace_

Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Structured Optimal Transport AISTATS 2018
Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018
Convergence of Value Aggregation for Imitation Learning AISTATS 2018
Inference in Sparse Graphs with Pairwise Measurements and Side Information AISTATS 2018
Parallel and Distributed MCMC via Shepherding Distributions AISTATS 2018
On denoising modulo 1 samples of a function AISTATS 2018
Scalable Hash-Based Estimation of Divergence Measures AISTATS 2018
Efficient Bayesian Methods for Counting Processes in Partially Observable Environments AISTATS 2018
The emergence of spectral universality in deep networks AISTATS 2018
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018
Nonparametric Bayesian sparse graph linear dynamical systems AISTATS 2018
Proximity Variational Inference AISTATS 2018
Near-Optimal Machine Teaching via Explanatory Teaching Sets AISTATS 2018
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning AISTATS 2018
HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step AISTATS 2018
Probability–Revealing Samples AISTATS 2018
A Unified Dynamic Approach to Sparse Model Selection AISTATS 2018
Bootstrapping EM via Power EM and Convergence in the Naive Bayes Model AISTATS 2018
Learners that Use Little Information ALT 2018
Sparsity, variance and curvature in multi-armed bandits ALT 2018
Bandit Regret Scaling with the Effective Loss Range ALT 2018
Structure Learning of ${H}$-colorings ALT 2018
Convergence of Langevin MCMC in KL-divergence ALT 2018
Coordinate Descent Faceoff: Primal or Dual? ALT 2018
A Better Resource Allocation Algorithm with Semi-Bandit Feedback ALT 2018