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)

Adaptive Learning with Unknown Information Flows NIPS 2018
Adding One Neuron Can Eliminate All Bad Local Minima NIPS 2018
Byzantine Stochastic Gradient Descent NIPS 2018
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NIPS 2018
Predictive Approximate Bayesian Computation via Saddle Points NIPS 2018
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport NIPS 2018
Smoothed analysis of the low-rank approach for smooth semidefinite programs NIPS 2018
On Neuronal Capacity NIPS 2018
Training Neural Networks Using Features Replay NIPS 2018
Mallows Models for Top-k Lists NIPS 2018
Information-based Adaptive Stimulus Selection to Optimize Communication Efficiency in Brain-Computer Interfaces NIPS 2018
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $\beta$-Divergences NIPS 2018
Visualizing the Loss Landscape of Neural Nets NIPS 2018
Non-monotone Submodular Maximization in Exponentially Fewer Iterations NIPS 2018
HOGWILD!-Gibbs can be PanAccurate NIPS 2018
Data Amplification: A Unified and Competitive Approach to Property Estimation NIPS 2018
Fast Similarity Search via Optimal Sparse Lifting NIPS 2018
Differentially Private Robust Low-Rank Approximation NIPS 2018
Evidential Deep Learning to Quantify Classification Uncertainty NIPS 2018
Testing for Families of Distributions via the Fourier Transform NIPS 2018
A Unified Framework for Extensive-Form Game Abstraction with Bounds NIPS 2018
Model-Agnostic Private Learning NIPS 2018
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network NIPS 2018
Stochastic Expectation Maximization with Variance Reduction NIPS 2018
Bayesian Nonparametric Spectral Estimation NIPS 2018