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)

Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation AISTATS 2018
Scalable Generalized Dynamic Topic Models AISTATS 2018
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method AISTATS 2018
Frank-Wolfe Splitting via Augmented Lagrangian Method AISTATS 2018
Learning linear structural equation models in polynomial time and sample complexity AISTATS 2018
Convergence diagnostics for stochastic gradient descent with constant learning rate AISTATS 2018
Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity AISTATS 2018
Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization AISTATS 2018
Stochastic algorithms for entropy-regularized optimal transport problems AISTATS 2018
Plug-in Estimators for Conditional Expectations and Probabilities AISTATS 2018
On the Statistical Efficiency of Compositional Nonparametric Prediction AISTATS 2018
Combinatorial Penalties: Which structures are preserved by convex relaxations? AISTATS 2018
On Statistical Optimality of Variational Bayes AISTATS 2018
Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems AISTATS 2018
Learning Generative Models with Sinkhorn Divergences AISTATS 2018
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference AISTATS 2018
Achieving the time of 1-NN, but the accuracy of k-NN AISTATS 2018
Efficient Weight Learning in High-Dimensional Untied MLNs AISTATS 2018
Learning with Complex Loss Functions and Constraints AISTATS 2018
Solving lp-norm regularization with tensor kernels AISTATS 2018
Multi-objective Contextual Bandit Problem with Similarity Information AISTATS 2018
Turing: A Language for Flexible Probabilistic Inference AISTATS 2018
Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy AISTATS 2018
Practical Bayesian optimization in the presence of outliers AISTATS 2018
Robust Locally-Linear Controllable Embedding AISTATS 2018