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Papers (including subtopics)

A New Perspective on Pool-Based Active Classification and False-Discovery Control NeurIPS 2019 An Exponential Efron-Stein Inequality for L_q Stable Learning Rules ALT 2019 An Exponential Tail Bound for the Deleted Estimate AAAI 2019 Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval AAAI 2019 An Improved Analysis of Training Over-parameterized Deep Neural Networks NeurIPS 2019 An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient UAI 2019 An Information-Theoretic Approach to Minimax Regret in Partial Monitoring COLT 2019 An Input-aware Factorization Machine for Sparse Prediction IJCAI 2019 An Investigation into Neural Net Optimization via Hessian Eigenvalue Density ICML 2019 ANODEV2: A Coupled Neural ODE Framework NeurIPS 2019 A Non–Convex Optimization Approach to Correlation Clustering AAAI 2019 A Nonconvex Projection Method for Robust PCA AAAI 2019 An Online Algorithm for Smoothed Regression and LQR Control AISTATS 2019 An Online Learning Approach to Model Predictive Control RSS 2019 An Optimal Algorithm for Stochastic and Adversarial Bandits AISTATS 2019 An Optimal Algorithm for Stochastic Three-Composite Optimization AISTATS 2019 An Optimal Control Approach to Sequential Machine Teaching AISTATS 2019 An Optimal High-Order Tensor Method for Convex Optimization COLT 2019 An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning AAAI 2019 Answers Unite! Unsupervised Metrics for Reinforced Summarization Models EMNLP 2019 ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION ICLR 2019 Anytime Online-to-Batch, Optimism and Acceleration ICML 2019 Anytime Recursive Best-First Search for Bounding Marginal MAP AAAI 2019 A PAC Framework for Aggregating Agents’ Judgments AAAI 2019 A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization JMLR 2019