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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)

Contextual Decision Processes with low Bellman rank are PAC-Learnable ICML 2017
How to Escape Saddle Points Efficiently ICML 2017
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs ICML 2017
An Adaptive Test of Independence with Analytic Kernel Embeddings ICML 2017
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent ICML 2017
Differentially Private Chi-squared Test by Unit Circle Mechanism ICML 2017
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP ICML 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations ICML 2017
Learning in POMDPs with Monte Carlo Tree Search ICML 2017
Meritocratic Fairness for Cross-Population Selection ICML 2017
On Approximation Guarantees for Greedy Low Rank Optimization ICML 2017
Cost-Optimal Learning of Causal Graphs ICML 2017
Understanding Black-box Predictions via Influence Functions ICML 2017
Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017
Evaluating Bayesian Models with Posterior Dispersion Indices ICML 2017
Co-clustering through Optimal Transport ICML 2017
Conditional Accelerated Lazy Stochastic Gradient Descent ICML 2017
Consistent k-Clustering ICML 2017
Bayesian inference on random simple graphs with power law degree distributions ICML 2017
Confident Multiple Choice Learning ICML 2017
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization ICML 2017
Dropout Inference in Bayesian Neural Networks with Alpha-divergences ICML 2017
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations ICML 2017
Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017
Forest-type Regression with General Losses and Robust Forest ICML 2017