Optimization

Collective Model Fusion for Multiple Black-Box Experts ICML 2019 Combinatorial Algorithms for Optimal Design COLT 2019 Combining Online Learning Guarantees COLT 2019 Combining parametric and nonparametric models for off-policy evaluation ICML 2019 Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients NeurIPS 2019 Compact Representation of Value Function in Partially Observable Stochastic Games IJCAI 2019 Comparing EM with GD in Mixture Models of Two Components UAI 2019 Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR Interspeech 2019 Competence-based Curriculum Learning for Neural Machine Translation NAACL 2019 Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games ICML 2019 Competitive Gradient Descent NeurIPS 2019 Complexities in Projection-Free Stochastic Non-convex Minimization AISTATS 2019 Complexity of Highly Parallel Non-Smooth Convex Optimization NeurIPS 2019 Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction AAAI 2019 Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform AAAI 2019 Compressing Convolutional Neural Networks via Factorized Convolutional Filters CVPR 2019 Compressing Gradient Optimizers via Count-Sketches ICML 2019 Computationally and Statistically Efficient Truncated Regression COLT 2019 Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent IJCAI 2019 Computing Full Conformal Prediction Set with Approximate Homotopy NeurIPS 2019 Concurrency Debugging with MaxSMT AAAI 2019 Conditional Expectation Propagation UAI 2019 Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator ICML 2019 Connecting and Comparing Language Model Interpolation Techniques Interspeech 2019 Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NeurIPS 2019