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)

Robust Matrix Completion from Quantized Observations AISTATS 2019
Foundations of Sequence-to-Sequence Modeling for Time Series AISTATS 2019
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit AISTATS 2019
An Optimal Algorithm for Stochastic Three-Composite Optimization AISTATS 2019
Lifelong Optimization with Low Regret AISTATS 2019
An Optimal Algorithm for Stochastic and Adversarial Bandits AISTATS 2019
Efficient Bayesian Experimental Design for Implicit Models AISTATS 2019
Local Saddle Point Optimization: A Curvature Exploitation Approach AISTATS 2019
Distributionally Robust Submodular Maximization AISTATS 2019
Support and Invertibility in Domain-Invariant Representations AISTATS 2019
Efficient Inference in Multi-task Cox Process Models AISTATS 2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019
On Connecting Stochastic Gradient MCMC and Differential Privacy AISTATS 2019
Computation Efficient Coded Linear Transform AISTATS 2019
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators AISTATS 2019
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms AISTATS 2019
Optimal Testing in the Experiment-rich Regime AISTATS 2019
Reversible Jump Probabilistic Programming AISTATS 2019
Robust Graph Embedding with Noisy Link Weights AISTATS 2019
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019
Fisher Information and Natural Gradient Learning in Random Deep Networks AISTATS 2019
Robust descent using smoothed multiplicative noise AISTATS 2019
Classification using margin pursuit AISTATS 2019
Linear Queries Estimation with Local Differential Privacy AISTATS 2019
Bayesian Learning of Neural Network Architectures AISTATS 2019