Theory
5,579 papers
Papers per year
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3
9
4
32
25
33
25
39
38
47
78
67
80
103
156
267
383
486
592
713
822
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612
154
2000
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Papers
A Kernel Theory of Modern Data Augmentation
ICML 2019
A large-scale study of the effects of word frequency and predictability in naturalistic reading
NAACL 2019
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
ICLR 2019
Algorithms for Estimating Trends in Global Temperature Volatility
AAAI 2019
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
JMLR 2019
Alternating Minimizations Converge to Second-Order Optimal Solutions
ICML 2019
A Max-Affine Spline Perspective of Recurrent Neural Networks
ICLR 2019
A Mean Field Theory of Batch Normalization
ICLR 2019
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
NeurIPS 2019
An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information
AAAI 2019
A near-optimal algorithm for approximating the John Ellipsoid
COLT 2019
An Exponential Efron-Stein Inequality for L_q Stable Learning Rules
ALT 2019
An Exponential Tail Bound for the Deleted Estimate
AAAI 2019
An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient
UAI 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
NeurIPS 2019
Approximability of Discriminators Implies Diversity in GANs
ICLR 2019
Approximate Inference Turns Deep Networks into Gaussian Processes
NeurIPS 2019
Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty
AAAI 2019
Approximating Integer Solution Counting via Space Quantification for Linear Constraints
IJCAI 2019
Approximation and non-parametric estimation of ResNet-type convolutional neural networks
ICML 2019
A Principled Approach for Learning Task Similarity in Multitask Learning
IJCAI 2019
A Recursive Algorithm for Projected Model Counting
AAAI 2019
Are deep ResNets provably better than linear predictors?
NeurIPS 2019
A Representer Theorem for Deep Kernel Learning
JMLR 2019
A Representer Theorem for Deep Neural Networks
JMLR 2019