Abstract is missing.
- Learning from Data with Heterogeneous Noise using SGDShuang Song, Kamalika Chaudhuri, Anand D. Sarwate. [doi]
- Deeply-Supervised NetsChen-Yu Lee, Saining Xie, Patrick Gallagher, Zhengyou Zhang, Zhuowen Tu. [doi]
- Learning Deep Sigmoid Belief Networks with Data AugmentationZhe Gan, Ricardo Henao, David E. Carlson, Lawrence Carin. [doi]
- The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical ModelsYuancheng Zhu, Rina Foygel Barber. [doi]
- Submodular Point Processes with Applications to Machine learningRishabh K. Iyer, Jeff A. Bilmes. [doi]
- A Simple Homotopy Algorithm for Compressive SensingLijun Zhang 0005, Tianbao Yang, Rong Jin, Zhi-Hua Zhou. [doi]
- Sparse Dueling BanditsKevin G. Jamieson, Sumeet Katariya, Atul Deshpande, Robert D. Nowak. [doi]
- Trend Filtering on GraphsYu-Xiang Wang, James Sharpnack, Alexander J. Smola, Ryan J. Tibshirani. [doi]
- Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling DistributionsAlexandre Défossez, Francis R. Bach. [doi]
- Efficient Training of Structured SVMs via Soft ConstraintsOfer Meshi, Nathan Srebro, Tamir Hazan. [doi]
- Falling Rule ListsFulton Wang, Cynthia Rudin. [doi]
- Modelling Policies in MDPs in Reproducing Kernel Hilbert SpaceGuy Lever, Ronnie Stafford. [doi]
- State Space Methods for Efficient Inference in Student-t Process RegressionArno Solin, Simo Särkkä. [doi]
- Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology DependenceNihar B. Shah, Sivaraman Balakrishnan, Joseph Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright. [doi]
- Active Pointillistic Pattern SearchYifei Ma, Dougal J. Sutherland, Roman Garnett, Jeff G. Schneider. [doi]
- Sparse Solutions to Nonnegative Linear Systems and ApplicationsAditya Bhaskara, Ananda Theertha Suresh, Morteza Zadimoghaddam. [doi]
- Symmetric Iterative Proportional FittingSven Kurras. [doi]
- Robust Cost Sensitive Support Vector MachineShuichi Katsumata, Akiko Takeda. [doi]
- Preferential Attachment in Graphs with AffinitiesJay Lee, Manzil Zaheer, Stephan Günnemann, Alexander J. Smola. [doi]
- Filtered Search for Submodular Maximization with Controllable Approximation BoundsWenlin Chen, Yixin Chen, Kilian Q. Weinberger. [doi]
- A la Carte - Learning Fast KernelsZichao Yang, Andrew Gordon Wilson, Alexander J. Smola, Le Song. [doi]
- WASP: Scalable Bayes via barycenters of subset posteriorsSanvesh Srivastava, Volkan Cevher, Quoc Tran-Dinh, David B. Dunson. [doi]
- On Approximate Non-submodular Minimization via Tree-Structured SupermodularityYoshinobu Kawahara, Rishabh K. Iyer, Jeff A. Bilmes. [doi]
- Missing at Random in Graphical ModelsJin Tian. [doi]
- On Estimating L22 DivergenceAkshay Krishnamurthy, Kirthevasan Kandasamy, Barnabás Póczos, Larry A. Wasserman. [doi]
- Low-Rank Spectral Learning with Weighted Loss FunctionsAlex Kulesza, Nan Jiang, Satinder Singh. [doi]
- Metric recovery from directed unweighted graphsTatsunori B. Hashimoto, Yi Sun, Tommi Jaakkola. [doi]
- Accurate and conservative estimates of MRF log-likelihood using reverse annealingYuri Burda, Roger B. Grosse, Ruslan Salakhutdinov. [doi]
- Data modeling with the elliptical gamma distributionSuvrit Sra, Reshad Hosseini, Lucas Theis, Matthias Bethge. [doi]
- Reliable and Scalable Variational Inference for the Hierarchical Dirichlet ProcessMichael C. Hughes, Dae-Il Kim, Erik B. Sudderth. [doi]
- Streaming Variational Inference for Bayesian Nonparametric Mixture ModelsAlex Tank, Nicholas J. Foti, Emily B. Fox. [doi]
- Generalized Linear Models for Aggregated DataAvradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo. [doi]
- Convex Multi-Task Learning by ClusteringAviad Barzilai, Koby Crammer. [doi]
- Understanding and Evaluating Sparse Linear Discriminant AnalysisYi Wu, David P. Wipf, Jeong-Min Yun. [doi]
- Parameter Estimation of Generalized Linear Models without Assuming their Link FunctionSreangsu Acharyya, Joydeep Ghosh. [doi]
- Tensor Factorization via Matrix FactorizationVolodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang. [doi]
- Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fieldsJulien Stoehr, Nial Friel. [doi]
- A Dirichlet Process Mixture Model for Spherical DataJulian Straub, Jason Chang, Oren Freifeld, John W. Fisher III. [doi]
- Similarity Learning for High-Dimensional Sparse DataKuan Liu, Aurélien Bellet, Fei Sha. [doi]
- Revisiting the Limits of MAP Inference by MWSS on Perfect GraphsAdrian Weller. [doi]
- On Theoretical Properties of Sum-Product NetworksRobert Peharz, Sebastian Tschiatschek, Franz Pernkopf, Pedro M. Domingos. [doi]
- Online Ranking with Top-1 FeedbackSougata Chaudhuri, Ambuj Tewari. [doi]
- Robust sketching for multiple square-root LASSO problemsVu Pham, Laurent El Ghaoui. [doi]
- Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström MethodDavid G. Anderson, Simon Du, Michael Mahoney, Christopher Melgaard, Kunming Wu, Ming Gu. [doi]
- Scalable Optimization of Randomized Operational Decisions in Adversarial Classification SettingsBo Li, Yevgeniy Vorobeychik. [doi]
- Preserving Privacy of Continuous High-dimensional Data with Minimax FiltersJihun Hamm. [doi]
- Particle Gibbs with Ancestor Sampling for Probabilistic ProgramsJan-Willem van de Meent, Hongseok Yang, Vikash Mansinghka, Frank Wood. [doi]
- Computational Complexity of Linear Large Margin Classification With Ramp LossSøren Frejstrup Maibing, Christian Igel. [doi]
- One-bit Compressed Sensing with the k-Support NormSheng Chen, Arindam Banerjee. [doi]
- Consensus Message Passing for Layered Graphical ModelsVarun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn. [doi]
- Online Optimization : Competing with Dynamic ComparatorsAli Jadbabaie, Alexander Rakhlin, Shahin Shahrampour, Karthik Sridharan. [doi]
- Stochastic Block Transition Models for Dynamic NetworksKevin Xu. [doi]
- Global Multi-armed Bandits with Hölder ContinuityOnur Atan, Cem Tekin, Mihaela van der Schaar. [doi]
- Near-optimal max-affine estimators for convex regressionGábor Bálazs, András György, Csaba Szepesvári. [doi]
- Scalable Variational Gaussian Process ClassificationJames Hensman, Alexander Matthews, Zoubin Ghahramani. [doi]
- A Sufficient Statistics Construction of Exponential Family Levy Measure Densities for Nonparametric Conjugate ModelsRobert Finn, Brian Kulis. [doi]
- Compressed Sensing with Very Sparse Gaussian Random ProjectionsPing Li 0001, Cun-Hui Zhang. [doi]
- Fast Function to Function RegressionJunier B. Oliva, Willie Neiswanger, Barnabás Póczos, Eric P. Xing, Hy Trac, Shirley Ho, Jeff G. Schneider. [doi]
- Max-Margin Zero-Shot Learning for Multi-class ClassificationXin Li 0013, Yuhong Guo. [doi]
- Implementable confidence sets in high dimensional regressionAlexandra Carpentier. [doi]
- Sensor Selection for Crowdsensing Dynamical SystemsFrançois Schnitzler, Jia Yuan Yu, Shie Mannor. [doi]
- Model Selection for Topic Models via Spectral DecompositionDehua Cheng, Xinran He, Yan Liu 0002. [doi]
- Variance Reduction via Antithetic Markov ChainsJames Neufeld, Dale Schuurmans, Michael H. Bowling. [doi]
- Gamma Processes, Stick-Breaking, and Variational InferenceAnirban Roychowdhury, Brian Kulis. [doi]
- Non-Uniform Stochastic Average Gradient Method for Training Conditional Random FieldsMark Schmidt, Reza Babanezhad, Mohamed Osama Ahmed, Aaron Defazio, Ann Clifton, Anoop Sarkar. [doi]
- Modeling Skill Acquisition Over Time with Sequence and Topic ModelingJosé P. González-Brenes. [doi]
- Inferring Block Structure of Graphical Models in Exponential FamiliesSiqi Sun, Hai Wang, Jinbo Xu. [doi]
- Majorization-Minimization for Manifold EmbeddingZhirong Yang, Jaakko Peltonen, Samuel Kaski. [doi]
- Estimating the accuracies of multiple classifiers without labeled dataAriel Jaffe, Boaz Nadler, Yuval Kluger. [doi]
- Maximally Informative Hierarchical Representations of High-Dimensional DataGreg Ver Steeg, Aram Galstyan. [doi]
- Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAMRoshan Shariff, András György, Csaba Szepesvári. [doi]
- DART: Dropouts meet Multiple Additive Regression TreesRashmi Korlakai Vinayak, Ran Gilad-Bachrach. [doi]
- Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete LabelsXin Li 0013, Feipeng Zhao, Yuhong Guo. [doi]
- Efficient Second-Order Gradient Boosting for Conditional Random FieldsTianQi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin. [doi]
- Toward Minimax Off-policy Value EstimationLihong Li, Rémi Munos, Csaba Szepesvári. [doi]
- Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian SystemsXiangli Chen, Brian D. Ziebart. [doi]
- On Anomaly Ranking and Excess-Mass CurvesNicolas Goix, Anne Sabourin, Stéphan Clémençon. [doi]
- A totally unimodular view of structured sparsityMarwa El Halabi, Volkan Cevher. [doi]
- Stochastic Spectral Descent for Restricted Boltzmann MachinesDavid E. Carlson, Volkan Cevher, Lawrence Carin. [doi]
- The Loss Surfaces of Multilayer NetworksAnna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun. [doi]
- Back to the Past: Source Identification in Diffusion Networks from Partially Observed CascadesMehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song. [doi]
- Sequential Kernel Herding: Frank-Wolfe Optimization for Particle FilteringSimon Lacoste-Julien, Fredrik Lindsten, Francis R. Bach. [doi]
- Multi-Manifold Modeling in Non-Euclidean spacesXu Wang, Konstantinos Slavakis, Gilad Lerman. [doi]
- Minimizing Nonconvex Non-Separable FunctionsYaoliang Yu, Xun Zheng, Micol Marchetti-Bowick, Eric P. Xing. [doi]
- Feature Selection for Linear SVM with Provable GuaranteesSaurabh Paul, Malik Magdon-Ismail, Petros Drineas. [doi]
- Direct Density-Derivative Estimation and Its Application in KL-Divergence ApproximationHiroaki Sasaki, Yung-Kyun Noh, Masashi Sugiyama. [doi]
- Predicting Preference Reversals via Gaussian Process Uncertainty AversionRikiya Takahashi, Tetsuro Morimura. [doi]
- Sparsistency of 1-Regularized M-EstimatorsYen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher. [doi]
- A Greedy Homotopy Method for Regression with Nonconvex ConstraintsFabian L. Wauthier, Peter Donnelly. [doi]
- Nonparametric Bayesian Factor Analysis for Dynamic Count MatricesAyan Acharya, Joydeep Ghosh, Mingyuan Zhou. [doi]
- Stochastic Structured Variational InferenceMatthew D. Hoffman, David M. Blei. [doi]
- Efficient Estimation of Mutual Information for Strongly Dependent VariablesShuyang Gao, Greg Ver Steeg, Aram Galstyan. [doi]
- Reactive bandits with attitudePedro Ortega, Kee-Eung Kim, Daniel Lee. [doi]
- The Security of Latent Dirichlet AllocationShike Mei, Xiaojin Zhu. [doi]
- Gaussian Processes for Bayesian hypothesis tests on regression functionsAlessio Benavoli, Francesca Mangili. [doi]
- The Bayesian Echo Chamber: Modeling Social Influence via Linguistic AccommodationFangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller. [doi]
- Learning of Non-Parametric Control Policies with High-Dimensional State FeaturesHerke van Hoof, Jan Peters 0001, Gerhard Neumann. [doi]
- Deep Exponential FamiliesRajesh Ranganath, Linpeng Tang, Laurent Charlin, David M. Blei. [doi]
- Particle Gibbs for Bayesian Additive Regression TreesBalaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh. [doi]
- Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and ReducibilityJuho Lee, Seungjin Choi. [doi]
- A Consistent Method for Graph Based Anomaly LocalizationSatoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa, Taiji Suzuki. [doi]
- Sparse Submodular Probabilistic PCARajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo. [doi]
- Graph Approximation and Clustering on a BudgetEthan Fetaya, Ohad Shamir, Shimon Ullman. [doi]
- Power-Law Graph CutsXiangyang Zhou, Jiaxin Zhang, Brian Kulis. [doi]
- Consistent Collective Matrix Completion under Joint Low Rank StructureSuriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang. [doi]
- Column Subset Selection with Missing Data via Active SamplingYining Wang, Aarti Singh. [doi]
- Cross-domain recommendation without shared users or items by sharing latent vector distributionsTomoharu Iwata, Takeuchi Koh. [doi]
- Scalable Nonparametric Multiway Data AnalysisShandian Zhe, Zenglin Xu, Xinqi Chu, Yuan (Alan) Qi, Youngja Park. [doi]
- Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding GuaranteesStephen H. Bach, Bert Huang, Lise Getoor. [doi]
- Learning Where to Sample in Structured PredictionTianlin Shi, Jacob Steinhardt, Percy Liang. [doi]
- PrefaceGuy Lebanon, S. V. N. Vishwanathan. [doi]
- On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift AlternativesSashank J. Reddi, Aaditya Ramdas, Barnabás Póczos, Aarti Singh, Larry A. Wasserman. [doi]
- Tradeoffs for Space, Time, Data and Risk in Unsupervised LearningMario Lucic, Mesrob I. Ohannessian, Amin Karbasi, Andreas Krause. [doi]
- A Spectral Algorithm for Inference in Hidden semi-Markov ModelsIgor Melnyk, Arindam Banerjee. [doi]
- Inference of Cause and Effect with Unsupervised Inverse RegressionEleni Sgouritsa, Dominik Janzing, Philipp Hennig, Bernhard Schölkopf. [doi]
- A Scalable Algorithm for Structured Kernel Feature SelectionShaogang Ren, Shuai Huang, John A. Onofrey, Xenios Papademetris, Xiaoning Qian. [doi]
- A Bayes consistent 1-NN classifierAryeh Kontorovich, Roi Weiss. [doi]
- Dimensionality estimation without distancesMatthäus Kleindessner, Ulrike von Luxburg. [doi]
- Latent feature regression for multivariate count dataArto Klami, Abhishek Tripathi, Johannes Sirola, Lauri Väre, Frédéric Roulland. [doi]
- Infinite Edge Partition Models for Overlapping Community Detection and Link PredictionMingyuan Zhou. [doi]
- Tight Regret Bounds for Stochastic Combinatorial Semi-BanditsBranislav Kveton, Zheng Wen, Azin Ashkan, Csaba Szepesvári. [doi]
- Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian MixturesMartin Azizyan, Aarti Singh, Larry A. Wasserman. [doi]
- A Rate of Convergence for Mixture Proportion Estimation, with Application to Learning from Noisy LabelsClayton Scott. [doi]
- A Topic Modeling Approach to RankingWeicong Ding, Prakash Ishwar, Venkatesh Saligrama. [doi]
- Learning Efficient Anomaly Detectors from K-NN GraphsJonathan Root, Jing Qian, Venkatesh Saligrama. [doi]
- Two-stage sampled learning theory on distributionsZoltán Szabó 0001, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur. [doi]
- Exact Bayesian Learning of Ancestor Relations in Bayesian NetworksYetian Chen, Lingjian Meng, Jin Tian. [doi]