Mathematics & Optimization

Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization ICML 2020 Multi-Type Resource Allocation with Partial Preferences AAAI 2020 Multivariate Probability Calibration with Isotonic Bernstein Polynomials IJCAI 2020 Mutual Information Estimation using LSH Sampling IJCAI 2020 Myersonian Regression NeurIPS 2020 My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits ICML 2020 Naive Exploration is Optimal for Online LQR ICML 2020 NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets SemEval 2020 Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling ICML 2020 Near-linear time Gaussian process optimization with adaptive batching and resparsification ICML 2020 Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding COLT 2020 Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs IJCAI 2020 Near-Optimal Algorithms for Minimax Optimization COLT 2020 Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond COLT 2020 Near-optimal Regret Bounds for Stochastic Shortest Path ICML 2020 Nesterov's Acceleration for Approximate Newton JMLR 2020 Network Representation Learning Algorithm Based on Neighborhood Influence Sequence ACML 2020 Network Schema Preserving Heterogeneous Information Network Embedding IJCAI 2020 Neural Approximate Dynamic Programming for On-Demand Ride-Pooling AAAI 2020 NeuralExplorer: State Space Exploration of Closed Loop Control Systems Using Neural Networks L4DC 2020 Neural Manifold Ordinary Differential Equations NeurIPS 2020 Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs NeurIPS 2020 Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks ICML 2020 Neutralizing Self-Selection Bias in Sampling for Sortition NeurIPS 2020 New Oracle-Efficient Algorithms for Private Synthetic Data Release ICML 2020