Theory

Unreproducible Research is Reproducible ICML 2019 Untangling in Invariant Speech Recognition NeurIPS 2019 Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series MLHC 2019 Validating Causal Inference Models via Influence Functions ICML 2019 Variance reduction properties of the reparameterization trick AISTATS 2019 Verification of RNN-Based Neural Agent-Environment Systems AAAI 2019 Verifying Robustness of Gradient Boosted Models AAAI 2019 Very Hard Electoral Control Problems AAAI 2019 Visionary Security: Using Uncertain Real-Time Information in Signaling Games IJCAI 2019 Weak Detection of Signal in the Spiked Wigner Model ICML 2019 Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory AAAI 2019 What Does BERT Learn about the Structure of Language? ACL 2019 What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks AAAI 2019 Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee AAAI 2019 Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models NeurIPS 2019 Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem ICML 2019 Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes NeurIPS 2019 A Bayesian Perspective on Generalization and Stochastic Gradient Descent ICLR 2018 A Boo(n) for Evaluating Architecture Performance ICML 2018 Adaptivity to Smoothness in X-armed bandits COLT 2018 Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution NeurIPS 2018 Algorithms and Theory for Multiple-Source Adaptation NeurIPS 2018 An ℓ_∞ Eigenvector Perturbation Bound and Its Application JMLR 2018 Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras CVPR 2018 An Analysis of Categorical Distributional Reinforcement Learning AISTATS 2018