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Papers (including subtopics)

Theoretical Analysis of Sparse Subspace Clustering with Missing Entries ICML 2018 Theoretical guarantees for EM under misspecified Gaussian mixture models NeurIPS 2018 Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds NeurIPS 2018 The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning NeurIPS 2018 The Physical Systems Behind Optimization Algorithms NeurIPS 2018 The power of deeper networks for expressing natural functions ICLR 2018 The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning ICML 2018 The price of debiasing automatic metrics in natural language evalaution ACL 2018 The promises and pitfalls of Stochastic Gradient Langevin Dynamics NeurIPS 2018 Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning NeurIPS 2018 The Role of Temporal Variation in Narrative Organization Interspeech 2018 The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models NeurIPS 2018 The Search Problem in Mixture Models JMLR 2018 The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network NeurIPS 2018 The streaming rollout of deep networks - towards fully model-parallel execution NeurIPS 2018 The Trajectory of Voice Onset Time with Vocal Aging Interspeech 2018 The Transfer of Human Trust in Robot Capabilities across Tasks RSS 2018 The Uncertainty Bellman Equation and Exploration ICML 2018 The Vertex Sample Complexity of Free Energy is Polynomial COLT 2018 The Well-Tempered Lasso ICML 2018 The Word Analogy Testing Caveat NAACL 2018 Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima NeurIPS 2018 Thompson Sampling for Combinatorial Semi-Bandits ICML 2018 Three-Head Neural Network Architecture for Monte Carlo Tree Search IJCAI 2018 Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows OSDI 2018