Abstract is missing.
- Lighter-Communication Distributed Machine Learning via Sufficient Factor BroadcastingPengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing. [doi]
- Adversarial Inverse Optimal Control for General Imitation Learning Losses and Embodiment TransferXiangli Chen, Mathew Monfort, Brian D. Ziebart, Peter Carr. [doi]
- Towards a Theoretical Understanding of Negative Transfer in Collective Matrix FactorizationChao Lan, Jianxin Wang, Jun Huan. [doi]
- Structured Prediction: From Gaussian Perturbations to Linear-Time Principled AlgorithmsJean Honorio, Tommi S. Jaakkola. [doi]
- Bayesian Estimators As Voting RulesLirong Xia. [doi]
- The Mondrian KernelMatej Balog, Balaji Lakshminarayanan, Zoubin Ghahramani, Daniel M. Roy, Yee Whye Teh. [doi]
- Budget Allocation using Weakly Coupled, Constrained Markov Decision ProcessesCraig Boutilier, Tyler Lu. [doi]
- Sparse Gaussian Processes for Bayesian OptimizationMitchell McIntire, Daniel Ratner, Stefano Ermon. [doi]
- The Deterministic Information BottleneckDJ Strouse, David J. Schwab. [doi]
- Scalable Nonparametric Bayesian Multilevel ClusteringViet Huynh, Dinh Q. Phung, Svetha Venkatesh, XuanLong Nguyen, Matthew D. Hoffman, Hung Hai Bui. [doi]
- Political Dimensionality Estimation Using a Probabilistic Graphical ModelYoad Lewenberg, Yoram Bachrach, Lucas Bordeaux, Pushmeet Kohli. [doi]
- Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower BoundsDilin Wang, John W. Fisher III, Qiang Liu. [doi]
- Thompson Sampling is Asymptotically Optimal in General EnvironmentsJan Leike, Tor Lattimore, Laurent Orseau, Marcus Hutter. [doi]
- Bayesian Learning of Kernel EmbeddingsSeth Flaxman, Dino Sejdinovic, John Cunningham, Sarah Filippi. [doi]
- A Formal Solution to the Grain of Truth ProblemJan Leike, Jessica Taylor, Benya Fallenstein. [doi]
- Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex OptimizationJinghui Chen, Quanquan Gu. [doi]
- Incremental Preference Elicitation for Decision Making Under Risk with the Rank-Dependent Utility ModelPatrice Perny, Paolo Viappiani, Abdellah Boukhatem. [doi]
- Bridging Heterogeneous Domains With Parallel Transport For Vision and Multimedia ApplicationsRaghuraman Gopalan. [doi]
- Convergence Rates for Greedy Kaczmarz Algorithms, and Randomized Kaczmarz Rules Using the Orthogonality GraphJulie Nutini, Behrooz Sepehry, Issam H. Laradji, Mark W. Schmidt, Hoyt A. Koepke, Alim Virani. [doi]
- Context-dependent feature analysis with random forestsAntonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts. [doi]
- Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence FunctionsMohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark W. Schmidt, Masashi Sugiyama. [doi]
- Subspace Clustering with a TwistDavid P. Wipf, Yue Dong, Bo Xin. [doi]
- Probabilistic Size-constrained MicroclusteringArto Klami, Aditya Jitta. [doi]
- Interpretable Policies for Dynamic Product RecommendationsMarek Petrik, Ronny Luss. [doi]
- Learning to Smooth with Bidirectional Predictive State Inference MachinesWen Sun, Roberto Capobianco, Geoffrey J. Gordon, J. Andrew Bagnell, Byron Boots. [doi]
- Analysis of Nyström method with sequential ridge leverage scoresDaniele Calandriello, Alessandro Lazaric, Michal Valko. [doi]
- Efficient Feature Group Sequencing for Anytime Linear PredictionHanzhang Hu, Alexander Grubb, J. Andrew Bagnell, Martial Hebert. [doi]
- Alternative Markov and Causal Properties for Acyclic Directed Mixed GraphsJosé M. Peña 0001. [doi]
- Utilize Old Coordinates: Faster Doubly Stochastic Gradients for Kernel MethodsChun-Liang Li, Barnabás Póczos. [doi]
- On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay AlgorithmChune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai. [doi]
- On the Theory and Practice of Privacy-Preserving Bayesian Data AnalysisJames R. Foulds, Joseph Geumlek, Max Welling, Kamalika Chaudhuri. [doi]
- Large-scale Submodular Greedy Exemplar Selection with Structured Similarity MatricesDmitry Malioutov, Abhishek Kumar, Ian En-Hsu Yen. [doi]
- Online Bayesian Multiple Kernel Bipartite RankingChangying Du, Changde Du, Guoping Long, Qing He, Yucheng Li. [doi]
- Safely Interruptible AgentsLaurent Orseau, Stuart Armstrong. [doi]
- A Correlated Worker Model for Grouped, Imbalanced and Multitask DataAn T. Nguyen, Byron C. Wallace, Matthew Lease. [doi]
- Stochastic Portfolio Theory: A Machine Learning ApproachYves-Laurent Kom Samo, Alexander Vervuurt. [doi]
- Individual Planning in Open and Typed Agent SystemsMuthukumaran Chandrasekaran, Adam Eck, Prashant Doshi, Leenkiat Soh. [doi]
- Quasi-Newton Hamiltonian Monte CarloTianfan Fu, Luo Luo, Zhihua Zhang. [doi]
- Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian ProcessesXi Tan, Syed A. Z. Naqvi, Alan (Yuan) Qi, Katherine A. Heller, Vinayak Rao. [doi]
- Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex EnvelopesMohammad Gheshlaghi Azar, Eva L. Dyer, Konrad P. Körding. [doi]
- Online learning with Erdos-Renyi side-observation graphsTomás Kocák, Gergely Neu, Michal Valko. [doi]
- Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application in Sparse Reinforcement LearningBo Liu, Luwan Zhang, Ji Liu. [doi]
- Super-Sampling with a ReservoirBrooks Paige, Dino Sejdinovic, Frank Wood. [doi]
- Overdispersed Black-Box Variational InferenceFrancisco J. Ruiz, Michalis Titsias, David M. Blei. [doi]
- Merging Strategies for Sum-Product Networks: From Trees to GraphsTahrima Rahman, Vibhav Gogate. [doi]
- Training Neural Nets to Aggregate Crowdsourced ResponsesAlex Gaunt, Diana Borsa, Yoram Bachrach. [doi]
- A Kernel Test for Three-Variable Interactions with Random ProcessesPaul Rubenstein, Kacper Chwialkowski, Arthur Gretton. [doi]
- On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent SelectionKun Zhang, Jiji Zhang, Biwei Huang, Bernhard Schölkopf, Clark Glymour. [doi]
- Online Forest Density EstimationFrédéric Koriche. [doi]
- Active Uncertainty Calibration in Bayesian ODE SolversHans Kersting, Philipp Hennig. [doi]
- A Characterization of Markov Equivalence Classes of Relational Causal Models under Path SemanticsSanghack Lee, Vasant Honavar. [doi]
- Sequential Nonparametric Testing with the Law of the Iterated LogarithmAkshay Balsubramani, Aaditya Ramdas. [doi]
- Adaptive Algorithms and Data-Dependent Guarantees for Bandit Convex OptimizationScott Yang, Mehryar Mohri. [doi]
- Hierarchical learning of grids of microtopicsNebojsa Jojic, Alessandro Perina, Dongwoo Kim. [doi]
- Bounded Rationality in Wagering MechanismsDavid M. Pennock, Vasilis Syrgkanis, Jennifer Wortman Vaughan. [doi]
- Bayesian Hyperparameter Optimization for Ensemble LearningJulien-Charles Levesque, Christian Gagné, Robert Sabourin. [doi]
- Improving Imprecise Compressive Sensing ModelsDongeun Lee, Rafael Lima, Jaesik Choi. [doi]
- Learning Network of Multivariate Hawkes Processes: A Time Series ApproachJalal Etesami, Negar Kiyavash, Kun Zhang, Kushagra Singhal. [doi]
- Importance Weighted Consensus Monte Carlo for Distributed Bayesian InferenceQiang Liu. [doi]
- Inferring Causal Direction from Relational DataDavid T. Arbour, Katerina Marazopoulou, David D. Jensen. [doi]
- Markov Beta Processes for Time Evolving Dictionary LearningAmar Shah, Zoubin Ghahramani. [doi]
- Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate DataKrzysztof Chalupka, Tobias Bischoff, Frederick Eberhardt, Pietro Perona. [doi]
- Budgeted Semi-supervised Support Vector Machine Trung Le, Phuong Duong, Mi Dinh, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung. [doi]
- Pruning Rules for Learning Parsimonious Context TreesRalf Eggeling, Mikko Koivisto. [doi]
- Modeling Transitivity in Complex NetworksMorteza Haghir Chehreghani, Mostafa Haghir Chehreghani. [doi]
- Forward Backward Greedy Algorithms for Multi-Task Learning with Faster RatesLu Tian, Pan Xu, Quanquan Gu. [doi]
- Taming the Noise in Reinforcement Learning via Soft UpdatesRoy Fox, Ari Pakman, Naftali Tishby. [doi]
- Degrees of Freedom in Deep Neural NetworksTianxiang Gao, Vladimir Jojic. [doi]
- Bounded Rational Decision-Making in Feedforward Neural NetworksFelix Leibfried, Daniel A. Braun. [doi]
- Non-parametric Domain Approximation for Scalable Gibbs Sampling in MLNsDeepak Venugopal, Somdeb Sarkhel, Kyle Cherry. [doi]
- Efficient Multi-Class Selective Sampling on GraphsPeng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiao-Li Li. [doi]
- Cascading Bandits for Large-Scale Recommendation ProblemsShi Zong, Hao Ni, Kenny Sung, Nan Rosemary Ke, Zheng Wen, Branislav Kveton. [doi]
- A General Statistical Framework for Designing Strategy-proof Assignment MechanismsHarikrishna Narasimhan, David C. Parkes. [doi]
- A Generative Block-Diagonal Model for ClusteringJunxiang Chen, Jennifer Dy. [doi]
- Model-Free Reinforcement Learning with Skew-Symmetric Bilinear UtilitiesHugo Gilbert, Bruno Zanuttini, Paul Weng, Paolo Viappiani, Esther Nicart. [doi]
- Elliptical Slice Sampling with Expectation PropagationFrancois Fagan, Jalaj Bhandari, John Cunningham. [doi]
- MDPs with Unawareness in RoboticsNan Rong, Joseph Y. Halpern, Ashutosh Saxena. [doi]
- Finite Sample Complexity of Rare Pattern Anomaly DetectionMd Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Shubhomoy Das. [doi]
- Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney DiseaseJoseph Futoma, Mark Sendak, Blake Cameron, Katherine A. Heller. [doi]
- Stability of Causal InferenceLeonard J. Schulman, Piyush Srivastava. [doi]
- Correlated Tag Learning in Topic ModelShuangyin Li, Rong Pan, Yu Zhang, Qiang Yang 0001. [doi]
- Characterizing Tightness of LP Relaxations by Forbidding Signed MinorsAdrian Weller. [doi]
- Conjugate Conformal Prediction for Online Binary ClassificationMustafa Anil Koçak, Dennis E. Shasha, Elza Erkip. [doi]
- Gradient Methods for Stackelberg GamesKareem Amin, Michael P. Wellman, Satinder P. Singh. [doi]
- Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of ProjectionsJianhui Chen, Tianbao Yang, Qihang Lin, Lijun Zhang 0005, Yi Chang. [doi]