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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)

Diverse Neural Network Learns True Target Functions AISTATS 2017
Relativistic Monte Carlo AISTATS 2017
Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data AISTATS 2017
Signal-based Bayesian Seismic Monitoring AISTATS 2017
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields AISTATS 2017
Spatial Decompositions for Large Scale SVMs AISTATS 2017
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting AISTATS 2017
Linking Micro Event History to Macro Prediction in Point Process Models AISTATS 2017
Distribution of Gaussian Process Arc Lengths AISTATS 2017
Distributed Adaptive Sampling for Kernel Matrix Approximation AISTATS 2017
Binary and Multi-Bit Coding for Stable Random Projections AISTATS 2017
Spectral Methods for Correlated Topic Models AISTATS 2017
Learning from Conditional Distributions via Dual Embeddings AISTATS 2017
Value-Aware Loss Function for Model-based Reinforcement Learning AISTATS 2017
Convergence Rate of Stochastic k-means AISTATS 2017
Automated Inference with Adaptive Batches AISTATS 2017
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017
Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions AISTATS 2017
New bounds on the price of bandit feedback for mistake-bounded online multiclass learning ALT 2017
Universality of Bayesian mixture predictors ALT 2017
Erasing Pattern Languages Distinguishable by a Finite Number of Strings ALT 2017
Non-Adaptive Randomized Algorithm for Group Testing ALT 2017
Boundary Crossing for General Exponential Families ALT 2017
Preference-based Teaching of Unions of Geometric Objects ALT 2017