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

1
52
337
806
3400
3289
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function AISTATS 2019
Consistent Online Optimization: Convex and Submodular AISTATS 2019
Least Squares Estimation of Weakly Convex Functions AISTATS 2019
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019
Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series AISTATS 2019
Kernel Exponential Family Estimation via Doubly Dual Embedding AISTATS 2019
Revisiting Adversarial Risk AISTATS 2019
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems AISTATS 2019
Bernoulli Race Particle Filters AISTATS 2019
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models AISTATS 2019
Unbiased Smoothing using Particle Independent Metropolis-Hastings AISTATS 2019
Two-temperature logistic regression based on the Tsallis divergence AISTATS 2019
Avoiding Latent Variable Collapse with Generative Skip Models AISTATS 2019
Modeling simple structures and geometry for better stochastic optimization algorithms AISTATS 2019
Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach AISTATS 2019
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods AISTATS 2019
An Optimal Control Approach to Sequential Machine Teaching AISTATS 2019
An Online Algorithm for Smoothed Regression and LQR Control AISTATS 2019
Estimating Network Structure from Incomplete Event Data AISTATS 2019
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals AISTATS 2019
Rotting bandits are no harder than stochastic ones AISTATS 2019
A Topological Regularizer for Classifiers via Persistent Homology AISTATS 2019
Doubly Semi-Implicit Variational Inference AISTATS 2019
Reducing training time by efficient localized kernel regression AISTATS 2019