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)

On Symmetric Losses for Learning from Corrupted Labels ICML 2019
PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits ICML 2019
Stein Point Markov Chain Monte Carlo ICML 2019
Information-Theoretic Considerations in Batch Reinforcement Learning ICML 2019
Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number ICML 2019
Control Regularization for Reduced Variance Reinforcement Learning ICML 2019
Predictor-Corrector Policy Optimization ICML 2019
Variational Inference for sparse network reconstruction from count data ICML 2019
Neural Joint Source-Channel Coding ICML 2019
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables ICML 2019
Unifying Orthogonal Monte Carlo Methods ICML 2019
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019
Weak Detection of Signal in the Spiked Wigner Model ICML 2019
New results on information theoretic clustering ICML 2019
On Medians of (Randomized) Pairwise Means ICML 2019
Quantifying Generalization in Reinforcement Learning ICML 2019
Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models ICML 2019
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets ICML 2019
Monge blunts Bayes: Hardness Results for Adversarial Training ICML 2019
Anytime Online-to-Batch, Optimism and Acceleration ICML 2019
Matrix-Free Preconditioning in Online Learning ICML 2019
Minimal Achievable Sufficient Statistic Learning ICML 2019
The Value Function Polytope in Reinforcement Learning ICML 2019
Bayesian Optimization Meets Bayesian Optimal Stopping ICML 2019
Policy Certificates: Towards Accountable Reinforcement Learning ICML 2019