| 2014 | (Near) Dimension Independent Risk Bounds for Differentially Private Learning. Prateek Jain, Abhradeep Guha Thakurta |
| 2014 | A Bayesian Framework for Online Classifier Ensemble. Qinxun Bai, Henry Lam, Stan Sclaroff |
| 2014 | A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri |
| 2014 | A Clockwork RNN. Jan Koutník, Klaus Greff, Faustino J. Gomez, Jürgen Schmidhuber |
| 2014 | A Compilation Target for Probabilistic Programming Languages. Brooks Paige, Frank D. Wood |
| 2014 | A Consistent Histogram Estimator for Exchangeable Graph Models. Stanley H. Chan, Edoardo M. Airoldi |
| 2014 | A Convergence Rate Analysis for LogitBoost, MART and Their Variant. Peng Sun, Tong Zhang, Jie Zhou |
| 2014 | A Deep Semi-NMF Model for Learning Hidden Representations. George Trigeorgis, Konstantinos Bousmalis, Stefanos Zafeiriou, Björn W. Schuller |
| 2014 | A Deep and Tractable Density Estimator. Benigno Uria, Iain Murray, Hugo Larochelle |
| 2014 | A Discriminative Latent Variable Model for Online Clustering. Rajhans Samdani, Kai-Wei Chang, Dan Roth |
| 2014 | A Divide-and-Conquer Solver for Kernel Support Vector Machines. Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon |
| 2014 | A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models. Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, Jieping Ye |
| 2014 | A Kernel Independence Test for Random Processes. Kacper Chwialkowski, Arthur Gretton |
| 2014 | A PAC-Bayesian bound for Lifelong Learning. Anastasia Pentina, Christoph H. Lampert |
| 2014 | A Physics-Based Model Prior for Object-Oriented MDPs. Jonathan Scholz, Martin Levihn, Charles Lee Isbell Jr., David Wingate |
| 2014 | A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data. Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin, Anil K. Jain |
| 2014 | A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data. Arun Rajkumar, Shivani Agarwal |
| 2014 | A Statistical Perspective on Algorithmic Leveraging. Ping Ma, Michael W. Mahoney, Bin Yu |
| 2014 | A Unified Framework for Consistency of Regularized Loss Minimizers. Jean Honorio, Tommi S. Jaakkola |
| 2014 | A Unifying View of Representer Theorems. Andreas Argyriou, Francesco Dinuzzo |
| 2014 | A new Q(lambda) with interim forward view and Monte Carlo equivalence. Richard S. Sutton, Ashique Rupam Mahmood, Doina Precup, Hado van Hasselt |
| 2014 | A reversible infinite HMM using normalised random measures. David A. Knowles, Zoubin Ghahramani, Konstantina Palla |
| 2014 | Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization. Shai Shalev-Shwartz, Tong Zhang |
| 2014 | Active Detection via Adaptive Submodularity. Yuxin Chen, Hiroaki Shioi, Cesar Fuentes Montesinos, Lian Pin Koh, Serge A. Wich, Andreas Krause |
| 2014 | Active Learning of Parameterized Skills. Bruno Castro da Silva, George Dimitri Konidaris, Andrew G. Barto |
| 2014 | Active Transfer Learning under Model Shift. Xuezhi Wang, Tzu-Kuo Huang, Jeff G. Schneider |
| 2014 | Adaptive Monte Carlo via Bandit Allocation. James Neufeld, András György, Csaba Szepesvári, Dale Schuurmans |
| 2014 | Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm. Jacob Steinhardt, Percy Liang |
| 2014 | Admixture of Poisson MRFs: A Topic Model with Word Dependencies. David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon |
| 2014 | Affinity Weighted Embedding. Jason Weston, Ron J. Weiss, Hector Yee |
| 2014 | Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy. Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek |
| 2014 | Agnostic Bayesian Learning of Ensembles. Alexandre Lacoste, Mario Marchand, François Laviolette, Hugo Larochelle |
| 2014 | Alternating Minimization for Mixed Linear Regression. Xinyang Yi, Constantine Caramanis, Sujay Sanghavi |
| 2014 | An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization. Qihang Lin, Lin Xiao |
| 2014 | An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy. Gavin Taylor, Connor Geer, David Piekut |
| 2014 | An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar |
| 2014 | An Efficient Approach for Assessing Hyperparameter Importance. Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown |
| 2014 | An Information Geometry of Statistical Manifold Learning. Ke Sun, Stéphane Marchand-Maillet |
| 2014 | Anomaly Ranking as Supervised Bipartite Ranking. Stéphan Clémençon, Sylvain Robbiano |
| 2014 | Anti-differentiating approximation algorithms: A case study with min-cuts, spectral, and flow. David F. Gleich, Michael W. Mahoney |
| 2014 | Approximate Policy Iteration Schemes: A Comparison. Bruno Scherrer |
| 2014 | Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process. Issei Sato, Hiroshi Nakagawa |
| 2014 | Asymptotically consistent estimation of the number of change points in highly dependent time series. Azadeh Khaleghi, Daniil Ryabko |
| 2014 | Asynchronous Distributed ADMM for Consensus Optimization. Ruiliang Zhang, James T. Kwok |
| 2014 | Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget. Anoop Korattikara Balan, Yutian Chen, Max Welling |
| 2014 | Automated inference of point of view from user interactions in collective intelligence venues. Sanmay Das, Allen Lavoie |
| 2014 | Bayesian Max-margin Multi-Task Learning with Data Augmentation. Chengtao Li, Jun Zhu, Jianfei Chen |
| 2014 | Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. Tien-Vu Nguyen, Dinh Quoc Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Bui |
| 2014 | Bayesian Optimization with Inequality Constraints. Jacob R. Gardner, Matt J. Kusner, Zhixiang Eddie Xu, Kilian Q. Weinberger, John P. Cunningham |
| 2014 | Beta Diffusion Trees. Creighton Heaukulani, David A. Knowles, Zoubin Ghahramani |
| 2014 | Bias in Natural Actor-Critic Algorithms. Philip Thomas |
| 2014 | Boosting multi-step autoregressive forecasts. Souhaib Ben Taieb, Rob J. Hyndman |
| 2014 | Boosting with Online Binary Learners for the Multiclass Bandit Problem. Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu |
| 2014 | Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs. Fabian Gieseke, Justin Heinermann, Cosmin E. Oancea, Christian Igel |
| 2014 | Circulant Binary Embedding. Felix X. Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang |
| 2014 | Clustering in the Presence of Background Noise. Shai Ben-David, Nika Haghtalab |
| 2014 | Coding for Random Projections. Ping Li, Michael Mitzenmacher, Anshumali Shrivastava |
| 2014 | Coherent Matrix Completion. Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel A. Ward |
| 2014 | Cold-start Active Learning with Robust Ordinal Matrix Factorization. Neil Houlsby, José Miguel Hernández-Lobato, Zoubin Ghahramani |
| 2014 | Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications. Tian Lin, Bruno D. Abrahao, Robert D. Kleinberg, John C. S. Lui, Wei Chen |
| 2014 | Communication-Efficient Distributed Optimization using an Approximate Newton-type Method. Ohad Shamir, Nathan Srebro, Tong Zhang |
| 2014 | Compact Random Feature Maps. Raffay Hamid, Ying Xiao, Alex Gittens, Dennis DeCoste |
| 2014 | Composite Quantization for Approximate Nearest Neighbor Search. Ting Zhang, Chao Du, Jingdong Wang |
| 2014 | Compositional Morphology for Word Representations and Language Modelling. Jan A. Botha, Phil Blunsom |
| 2014 | Computing Parametric Ranking Models via Rank-Breaking. Hossein Azari Soufiani, David C. Parkes, Lirong Xia |
| 2014 | Concentration in unbounded metric spaces and algorithmic stability. Aryeh Kontorovich |
| 2014 | Concept Drift Detection Through Resampling. Maayan Harel, Shie Mannor, Ran El-Yaniv, Koby Crammer |
| 2014 | Condensed Filter Tree for Cost-Sensitive Multi-Label Classification. Chun-Liang Li, Hsuan-Tien Lin |
| 2014 | Consistency of Causal Inference under the Additive Noise Model. Samory Kpotufe, Eleni Sgouritsa, Dominik Janzing, Bernhard Schölkopf |
| 2014 | Convergence rates for persistence diagram estimation in Topological Data Analysis. Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel |
| 2014 | Convex Total Least Squares. Dmitry Malioutov, Nikolai Slavov |
| 2014 | Coordinate-descent for learning orthogonal matrices through Givens rotations. Uri Shalit, Gal Chechik |
| 2014 | Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising. Ling Yan, Wu-Jun Li, Gui-Rong Xue, Dingyi Han |
| 2014 | Covering Number for Efficient Heuristic-based POMDP Planning. Zongzhang Zhang, David Hsu, Wee Sun Lee |
| 2014 | DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell |
| 2014 | Deep AutoRegressive Networks. Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra |
| 2014 | Deep Boosting. Corinna Cortes, Mehryar Mohri, Umar Syed |
| 2014 | Deep Generative Stochastic Networks Trainable by Backprop. Yoshua Bengio, Eric Laufer, Guillaume Alain, Jason Yosinski |
| 2014 | Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction. Jian Zhou, Olga G. Troyanskaya |
| 2014 | Demystifying Information-Theoretic Clustering. Greg Ver Steeg, Aram Galstyan, Fei Sha, Simon DeDeo |
| 2014 | Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search. Anshumali Shrivastava, Ping Li |
| 2014 | Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes. E. Busra Celikkaya, Christian R. Shelton |
| 2014 | Deterministic Policy Gradient Algorithms. David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin A. Riedmiller |
| 2014 | Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost. Ferdinando Cicalese, Eduardo Sany Laber, Aline Medeiros Saettler |
| 2014 | Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning. François Denis, Mattias Gybels, Amaury Habrard |
| 2014 | Discovering Latent Network Structure in Point Process Data. Scott W. Linderman, Ryan P. Adams |
| 2014 | Discrete Chebyshev Classifiers. Elad Eban, Elad Mezuman, Amir Globerson |
| 2014 | Discriminative Features via Generalized Eigenvectors. Nikos Karampatziakis, Paul Mineiro |
| 2014 | Distributed Representations of Sentences and Documents. Quoc V. Le, Tomás Mikolov |
| 2014 | Distributed Stochastic Gradient MCMC. Sungjin Ahn, Babak Shahbaba, Max Welling |
| 2014 | Doubly Stochastic Variational Bayes for non-Conjugate Inference. Michalis K. Titsias, Miguel Lázaro-Gredilla |
| 2014 | Dual Query: Practical Private Query Release for High Dimensional Data. Marco Gaboardi, Emilio Jesús Gallego Arias, Justin Hsu, Aaron Roth, Zhiwei Steven Wu |
| 2014 | Dynamic Programming Boosting for Discriminative Macro-Action Discovery. Leonidas Lefakis, François Fleuret |
| 2014 | Effective Bayesian Modeling of Groups of Related Count Time Series. Nicolas Chapados |
| 2014 | Efficient Algorithms for Robust One-bit Compressive Sensing. Lijun Zhang, Jinfeng Yi, Rong Jin |
| 2014 | Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function. Yong Liu, Shali Jiang, Shizhong Liao |
| 2014 | Efficient Continuous-Time Markov Chain Estimation. Monir Hajiaghayi, Bonnie Kirkpatrick, Liangliang Wang, Alexandre Bouchard-Côté |
| 2014 | Efficient Dimensionality Reduction for High-Dimensional Network Estimation. Safiye Celik, Benjamin A. Logsdon, Su-In Lee |
| 2014 | Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets. Diederik P. Kingma, Max Welling |
| 2014 | Efficient Label Propagation. Yasuhiro Fujiwara, Go Irie |
| 2014 | Efficient Learning of Mahalanobis Metrics for Ranking. Daryl Lim, Gert R. G. Lanckriet |
| 2014 | Elementary Estimators for High-Dimensional Linear Regression. Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar |
| 2014 | Elementary Estimators for Sparse Covariance Matrices and other Structured Moments. Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar |
| 2014 | Ensemble Methods for Structured Prediction. Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri |
| 2014 | Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data. Naiyan Wang, Dit-Yan Yeung |
| 2014 | Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm. Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schölkopf |
| 2014 | Estimating Latent-Variable Graphical Models using Moments and Likelihoods. Arun Tejasvi Chaganty, Percy Liang |
| 2014 | Exchangeable Variable Models. Mathias Niepert, Pedro M. Domingos |
| 2014 | Exponential Family Matrix Completion under Structural Constraints. Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh |
| 2014 | Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball. Andrew C. Miller, Luke Bornn, Ryan P. Adams, Kirk Goldsberry |
| 2014 | Fast Allocation of Gaussian Process Experts. Trung V. Nguyen, Edwin V. Bonilla |
| 2014 | Fast Computation of Wasserstein Barycenters. Marco Cuturi, Arnaud Doucet |
| 2014 | Fast Multi-stage Submodular Maximization. Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes |
| 2014 | Fast Stochastic Alternating Direction Method of Multipliers. Wenliang Zhong, James Tin-Yau Kwok |
| 2014 | Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods. Jascha Sohl-Dickstein, Ben Poole, Surya Ganguli |
| 2014 | Filtering with Abstract Particles. Jacob Steinhardt, Percy Liang |
| 2014 | Finding Dense Subgraphs via Low-Rank Bilinear Optimization. Dimitris S. Papailiopoulos, Ioannis Mitliagkas, Alexandros G. Dimakis, Constantine Caramanis |
| 2014 | Finito: A faster, permutable incremental gradient method for big data problems. Aaron Defazio, Justin Domke, Tibério S. Caetano |
| 2014 | Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint. Ji Liu, Jieping Ye, Ryohei Fujimaki |
| 2014 | GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare. Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan, Shivani Agarwal |
| 2014 | Gaussian Approximation of Collective Graphical Models. Li-Ping Liu, Daniel Sheldon, Thomas G. Dietterich |
| 2014 | Gaussian Process Classification and Active Learning with Multiple Annotators. Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro |
| 2014 | Gaussian Process Optimization with Mutual Information. Emile Contal, Vianney Perchet, Nicolas Vayatis |
| 2014 | Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations. David Barber, Yali Wang |
| 2014 | GeNGA: A Generalization of Natural Gradient Ascent with Positive and Negative Convergence Results. Philip Thomas |
| 2014 | Generalized Exponential Concentration Inequality for Renyi Divergence Estimation. Shashank Singh, Barnabás Póczos |
| 2014 | Geodesic Distance Function Learning via Heat Flow on Vector Fields. Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye |
| 2014 | Global graph kernels using geometric embeddings. Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, Chiranjib Bhattacharyya |
| 2014 | Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm. Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun |
| 2014 | Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. Xiaotong Yuan, Ping Li, Tong Zhang |
| 2014 | Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically. Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw |
| 2014 | Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting. Oscar Beijbom, Mohammad J. Saberian, David J. Kriegman, Nuno Vasconcelos |
| 2014 | Hamiltonian Monte Carlo Without Detailed Balance. Jascha Sohl-Dickstein, Mayur Mudigonda, Michael Robert DeWeese |
| 2014 | Hard-Margin Active Linear Regression. Zohar Shay Karnin, Elad Hazan |
| 2014 | Heavy-tailed regression with a generalized median-of-means. Daniel J. Hsu, Sivan Sabato |
| 2014 | Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations. Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Yijun Zhao, Orrin Devinsky, Ruben Kuzniecky, Carla E. Brodley |
| 2014 | Hierarchical Dirichlet Scaling Process. Dongwoo Kim, Alice Oh |
| 2014 | Hierarchical Quasi-Clustering Methods for Asymmetric Networks. Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra |
| 2014 | High Order Regularization for Semi-Supervised Learning of Structured Output Problems. Yujia Li, Richard S. Zemel |
| 2014 | Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques. Jérémie Mary, Philippe Preux, Olivier Nicol |
| 2014 | Inferning with High Girth Graphical Models. Uri Heinemann, Amir Globerson |
| 2014 | Influence Function Learning in Information Diffusion Networks. Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song |
| 2014 | Input Warping for Bayesian Optimization of Non-Stationary Functions. Jasper Snoek, Kevin Swersky, Richard S. Zemel, Ryan P. Adams |
| 2014 | Joint Inference of Multiple Label Types in Large Networks. Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy |
| 2014 | K-means recovers ICA filters when independent components are sparse. Alon Vinnikov, Shai Shalev-Shwartz |
| 2014 | Kernel Adaptive Metropolis-Hastings. Dino Sejdinovic, Heiko Strathmann, Maria Lomeli Garcia, Christophe Andrieu, Arthur Gretton |
| 2014 | Kernel Mean Estimation and Stein Effect. Krikamol Muandet, Kenji Fukumizu, Bharath K. Sriperumbudur, Arthur Gretton, Bernhard Schölkopf |
| 2014 | Large-Margin Metric Learning for Constrained Partitioning Problems. Rémi Lajugie, Francis R. Bach, Sylvain Arlot |
| 2014 | Large-margin Weakly Supervised Dimensionality Reduction. Chang Xu, Dacheng Tao, Chao Xu, Yong Rui |
| 2014 | Large-scale Multi-label Learning with Missing Labels. Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit S. Dhillon |
| 2014 | Latent Bandits. Odalric-Ambrym Maillard, Shie Mannor |
| 2014 | Latent Confusion Analysis by Normalized Gamma Construction. Issei Sato, Hisashi Kashima, Hiroshi Nakagawa |
| 2014 | Latent Semantic Representation Learning for Scene Classification. Xin Li, Yuhong Guo |
| 2014 | Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data. Benjamin Letham, Wei Sun, Anshul Sheopuri |
| 2014 | Learnability of the Superset Label Learning Problem. Li-Ping Liu, Thomas G. Dietterich |
| 2014 | Learning Character-level Representations for Part-of-Speech Tagging. Cícero Nogueira dos Santos, Bianca Zadrozny |
| 2014 | Learning Complex Neural Network Policies with Trajectory Optimization. Sergey Levine, Vladlen Koltun |
| 2014 | Learning Graphs with a Few Hubs. Rashish Tandon, Pradeep Ravikumar |
| 2014 | Learning Latent Variable Gaussian Graphical Models. Zhaoshi Meng, Brian Eriksson, Alfred O. Hero III |
| 2014 | Learning Mixtures of Linear Classifiers. Yuekai Sun, Stratis Ioannidis, Andrea Montanari |
| 2014 | Learning Modular Structures from Network Data and Node Variables. Elham Azizi, Edoardo M. Airoldi, James E. Galagan |
| 2014 | Learning Ordered Representations with Nested Dropout. Oren Rippel, Michael A. Gelbart, Ryan P. Adams |
| 2014 | Learning Polynomials with Neural Networks. Alexandr Andoni, Rina Panigrahy, Gregory Valiant, Li Zhang |
| 2014 | Learning Sum-Product Networks with Direct and Indirect Variable Interactions. Amirmohammad Rooshenas, Daniel Lowd |
| 2014 | Learning Theory and Algorithms for revenue optimization in second price auctions with reserve. Mehryar Mohri, Andres Muñoz Medina |
| 2014 | Learning by Stretching Deep Networks. Gaurav Pandey, Ambedkar Dukkipati |
| 2014 | Learning from Contagion (Without Timestamps). Kareem Amin, Hoda Heidari, Michael J. Kearns |
| 2014 | Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks. Shan-Hung Wu, Hao-Heng Chien, Kuan-Hua Lin, Philip S. Yu |
| 2014 | Learning the Irreducible Representations of Commutative Lie Groups. Taco Cohen, Max Welling |
| 2014 | Learning the Parameters of Determinantal Point Process Kernels. Raja Hafiz Affandi, Emily B. Fox, Ryan P. Adams, Benjamin Taskar |
| 2014 | Learning to Disentangle Factors of Variation with Manifold Interaction. Scott E. Reed, Kihyuk Sohn, Yuting Zhang, Honglak Lee |
| 2014 | Least Squares Revisited: Scalable Approaches for Multi-class Prediction. Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant |
| 2014 | Linear Programming for Large-Scale Markov Decision Problems. Alan Malek, Yasin Abbasi-Yadkori, Peter L. Bartlett |
| 2014 | Linear Time Solver for Primal SVM. Feiping Nie, Yizhen Huang, Heng Huang |
| 2014 | Linear and Parallel Learning of Markov Random Fields. Yariv Dror Mizrahi, Misha Denil, Nando de Freitas |
| 2014 | Local Ordinal Embedding. Yoshikazu Terada, Ulrike von Luxburg |
| 2014 | Local algorithms for interactive clustering. Pranjal Awasthi, Maria-Florina Balcan, Konstantin Voevodski |
| 2014 | Low-density Parity Constraints for Hashing-Based Discrete Integration. Stefano Ermon, Carla P. Gomes, Ashish Sabharwal, Bart Selman |
| 2014 | Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians. Christopher Tosh, Sanjoy Dasgupta |
| 2014 | Making Fisher Discriminant Analysis Scalable. Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian |
| 2014 | Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers. Dani Yogatama, Noah A. Smith |
| 2014 | Marginal Structured SVM with Hidden Variables. Wei Ping, Qiang Liu, Alexander Ihler |
| 2014 | Marginalized Denoising Auto-encoders for Nonlinear Representations. Minmin Chen, Kilian Q. Weinberger, Fei Sha, Yoshua Bengio |
| 2014 | Margins, Kernels and Non-linear Smoothed Perceptrons. Aaditya Ramdas, Javier Peña |
| 2014 | Max-Margin Infinite Hidden Markov Models. Aonan Zhang, Jun Zhu, Bo Zhang |
| 2014 | Maximum Margin Multiclass Nearest Neighbors. Aryeh Kontorovich, Roi Weiss |
| 2014 | Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection. Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi |
| 2014 | Memory (and Time) Efficient Sequential Monte Carlo. Seong-Hwan Jun, Alexandre Bouchard-Côté |
| 2014 | Memory Efficient Kernel Approximation. Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon |
| 2014 | Memory and Computation Efficient PCA via Very Sparse Random Projections. Farhad Pourkamali-Anaraki, Shannon M. Hughes |
| 2014 | Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison. Borja Balle, William L. Hamilton, Joelle Pineau |
| 2014 | Min-Max Problems on Factor Graphs. Siamak Ravanbakhsh, Christopher Srinivasa, Brendan J. Frey, Russell Greiner |
| 2014 | Model-Based Relational RL When Object Existence is Partially Observable. Ngo Anh Vien, Marc Toussaint |
| 2014 | Modeling Correlated Arrival Events with Latent Semi-Markov Processes. Wenzhao Lian, Vinayak A. Rao, Brian Eriksson, Lawrence Carin |
| 2014 | Multi-label Classification via Feature-aware Implicit Label Space Encoding. Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang |
| 2014 | Multi-period Trading Prediction Markets with Connections to Machine Learning. Jinli Hu, Amos J. Storkey |
| 2014 | Multimodal Neural Language Models. Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel |
| 2014 | Multiple Testing under Dependence via Semiparametric Graphical Models. Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page |
| 2014 | Multiresolution Matrix Factorization. Risi Kondor, Nedelina Teneva, Vikas K. Garg |
| 2014 | Multivariate Maximal Correlation Analysis. Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Pavel Efros, Klemens Böhm |
| 2014 | Narrowing the Gap: Random Forests In Theory and In Practice. Misha Denil, David Matheson, Nando de Freitas |
| 2014 | Near-Optimal Joint Object Matching via Convex Relaxation. Yuxin Chen, Leonidas J. Guibas, Qi-Xing Huang |
| 2014 | Near-Optimally Teaching the Crowd to Classify. Adish Singla, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, Andreas Krause |
| 2014 | Nearest Neighbors Using Compact Sparse Codes. Anoop Cherian |
| 2014 | Neural Variational Inference and Learning in Belief Networks. Andriy Mnih, Karol Gregor |
| 2014 | Nonlinear Information-Theoretic Compressive Measurement Design. Liming Wang, Abolfazl Razi, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin |
| 2014 | Nonmyopic \(\epsilon\)-Bayes-Optimal Active Learning of Gaussian Processes. Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet, Mohan S. Kankanhalli |
| 2014 | Nonnegative Sparse PCA with Provable Guarantees. Megasthenis Asteris, Dimitris S. Papailiopoulos, Alexandros G. Dimakis |
| 2014 | Nonparametric Estimation of Multi-View Latent Variable Models. Le Song, Animashree Anandkumar, Bo Dai, Bo Xie |
| 2014 | Nonparametric Estimation of Renyi Divergence and Friends. Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabás Póczos, Larry A. Wasserman |
| 2014 | Nuclear Norm Minimization via Active Subspace Selection. Cho-Jui Hsieh, Peder A. Olsen |
| 2014 | On Measure Concentration of Random Maximum A-Posteriori Perturbations. Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola |
| 2014 | On Modelling Non-linear Topical Dependencies. Zhixing Li, Siqiang Wen, Juanzi Li, Peng Zhang, Jie Tang |
| 2014 | On Robustness and Regularization of Structural Support Vector Machines. MohamadAli Torkamani, Daniel Lowd |
| 2014 | On learning to localize objects with minimal supervision. Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell |
| 2014 | On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. Pratik Jawanpuria, Manik Varma, J. Saketha Nath |
| 2014 | On the convergence of no-regret learning in selfish routing. Walid Krichene, Benjamin Drighès, Alexandre M. Bayen |
| 2014 | One Practical Algorithm for Both Stochastic and Adversarial Bandits. Yevgeny Seldin, Aleksandrs Slivkins |
| 2014 | Online Bayesian Passive-Aggressive Learning. Tianlin Shi, Jun Zhu |
| 2014 | Online Clustering of Bandits. Claudio Gentile, Shuai Li, Giovanni Zappella |
| 2014 | Online Learning in Markov Decision Processes with Changing Cost Sequences. Travis Dick, András György, Csaba Szepesvári |
| 2014 | Online Multi-Task Learning for Policy Gradient Methods. Haitham Bou-Ammar, Eric Eaton, Paul Ruvolo, Matthew E. Taylor |
| 2014 | Online Stochastic Optimization under Correlated Bandit Feedback. Mohammad Gheshlaghi Azar, Alessandro Lazaric, Emma Brunskill |
| 2014 | Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm. Tasuku Soma, Naonori Kakimura, Kazuhiro Inaba, Ken-ichi Kawarabayashi |
| 2014 | Optimal Mean Robust Principal Component Analysis. Feiping Nie, Jianjun Yuan, Heng Huang |
| 2014 | Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing. Yuan Zhou, Xi Chen, Jian Li |
| 2014 | Optimization Equivalence of Divergences Improves Neighbor Embedding. Zhirong Yang, Jaakko Peltonen, Samuel Kaski |
| 2014 | Outlier Path: A Homotopy Algorithm for Robust SVM. Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Ichiro Takeuchi |
| 2014 | PAC-inspired Option Discovery in Lifelong Reinforcement Learning. Emma Brunskill, Lihong Li |
| 2014 | Pitfalls in the use of Parallel Inference for the Dirichlet Process. Yarin Gal, Zoubin Ghahramani |
| 2014 | Prediction with Limited Advice and Multiarmed Bandits with Paid Observations. Yevgeny Seldin, Peter L. Bartlett, Koby Crammer, Yasin Abbasi-Yadkori |
| 2014 | Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows. Róbert Busa-Fekete, Eyke Hüllermeier, Balázs Szörényi |
| 2014 | Preserving Modes and Messages via Diverse Particle Selection. Jason Pacheco, Silvia Zuffi, Michael J. Black, Erik B. Sudderth |
| 2014 | Probabilistic Matrix Factorization with Non-random Missing Data. José Miguel Hernández-Lobato, Neil Houlsby, Zoubin Ghahramani |
| 2014 | Probabilistic Partial Canonical Correlation Analysis. Yusuke Mukuta, Tatsuya Harada |
| 2014 | Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014 |
| 2014 | Programming by Feedback. Marc Schoenauer, Riad Akrour, Michèle Sebag, Jean-Christophe Souplet |
| 2014 | Provable Bounds for Learning Some Deep Representations. Sanjeev Arora, Aditya Bhaskara, Rong Ge, Tengyu Ma |
| 2014 | Pursuit-Evasion Without Regret, with an Application to Trading. Lili Dworkin, Michael J. Kearns, Yuriy Nevmyvaka |
| 2014 | Putting MRFs on a Tensor Train. Alexander Novikov, Anton Rodomanov, Anton Osokin, Dmitry P. Vetrov |
| 2014 | Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels. Jiyan Yang, Vikas Sindhwani, Haim Avron, Michael W. Mahoney |
| 2014 | Randomized Nonlinear Component Analysis. David Lopez-Paz, Suvrit Sra, Alexander J. Smola, Zoubin Ghahramani, Bernhard Schölkopf |
| 2014 | Rank-One Matrix Pursuit for Matrix Completion. Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye |
| 2014 | Rectangular Tiling Process. Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda |
| 2014 | Recurrent Convolutional Neural Networks for Scene Labeling. Pedro H. O. Pinheiro, Ronan Collobert |
| 2014 | Reducing Dueling Bandits to Cardinal Bandits. Nir Ailon, Zohar Shay Karnin, Thorsten Joachims |
| 2014 | Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem. Masrour Zoghi, Shimon Whiteson, Rémi Munos, Maarten de Rijke |
| 2014 | Riemannian Pursuit for Big Matrix Recovery. Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan |
| 2014 | Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization. Hua Wang, Feiping Nie, Heng Huang |
| 2014 | Robust Inverse Covariance Estimation under Noisy Measurements. Jun-Kun Wang, Shou-De Lin |
| 2014 | Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification. Junfeng Wen, Chun-Nam Yu, Russell Greiner |
| 2014 | Robust Principal Component Analysis with Complex Noise. Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Lei Zhang |
| 2014 | Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models. Shike Mei, Jun Zhu, Jerry Zhu |
| 2014 | Robust and Efficient Kernel Hyperparameter Paths with Guarantees. Joachim Giesen, Sören Laue, Patrick Wieschollek |
| 2014 | Saddle Points and Accelerated Perceptron Algorithms. Adams Wei Yu, Fatma Kilinç-Karzan, Jaime G. Carbonell |
| 2014 | Safe Screening with Variational Inequalities and Its Application to Lasso. Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye |
| 2014 | Sample Efficient Reinforcement Learning with Gaussian Processes. Robert C. Grande, Thomas J. Walsh, Jonathan P. How |
| 2014 | Sample-based approximate regularization. Philip Bachman, Amir-massoud Farahmand, Doina Precup |
| 2014 | Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors. Piyush Rai, Yingjian Wang, Shengbo Guo, Gary Chen, David B. Dunson, Lawrence Carin |
| 2014 | Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications. Sébastien Bratières, Novi Quadrianto, Sebastian Nowozin, Zoubin Ghahramani |
| 2014 | Scalable Semidefinite Relaxation for Maximum A Posterior Estimation. Qi-Xing Huang, Yuxin Chen, Leonidas J. Guibas |
| 2014 | Scalable and Robust Bayesian Inference via the Median Posterior. Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David B. Dunson |
| 2014 | Scaling SVM and Least Absolute Deviations via Exact Data Reduction. Jie Wang, Peter Wonka, Jieping Ye |
| 2014 | Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations. Timothy A. Mann, Shie Mannor |
| 2014 | Scaling Up Robust MDPs using Function Approximation. Aviv Tamar, Shie Mannor, Huan Xu |
| 2014 | Signal recovery from Pooling Representations. Joan Bruna Estrach, Arthur Szlam, Yann LeCun |
| 2014 | Skip Context Tree Switching. Marc G. Bellemare, Joel Veness, Erik Talvitie |
| 2014 | Sparse Reinforcement Learning via Convex Optimization. Zhiwei Qin, Weichang Li, Firdaus Janoos |
| 2014 | Sparse meta-Gaussian information bottleneck. Mélanie Rey, Volker Roth, Thomas J. Fuchs |
| 2014 | Spectral Bandits for Smooth Graph Functions. Michal Valko, Rémi Munos, Branislav Kveton, Tomás Kocák |
| 2014 | Spectral Regularization for Max-Margin Sequence Tagging. Ariadna Quattoni, Borja Balle, Xavier Carreras, Amir Globerson |
| 2014 | Spherical Hamiltonian Monte Carlo for Constrained Target Distributions. Shiwei Lan, Bo Zhou, Babak Shahbaba |
| 2014 | Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery. Cun Mu, Bo Huang, John Wright, Donald Goldfarb |
| 2014 | Stable and Efficient Representation Learning with Nonnegativity Constraints. Tsung-Han Lin, H. T. Kung |
| 2014 | Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance. Simone Romano, James Bailey, Xuan Vinh Nguyen, Karin Verspoor |
| 2014 | Statistical analysis of stochastic gradient methods for generalized linear models. Panagiotis Toulis, Edoardo M. Airoldi, Jason Rennie |
| 2014 | Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting. Yudong Chen, Jiaming Xu |
| 2014 | Stochastic Backpropagation and Approximate Inference in Deep Generative Models. Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra |
| 2014 | Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers. Taiji Suzuki |
| 2014 | Stochastic Gradient Hamiltonian Monte Carlo. Tianqi Chen, Emily B. Fox, Carlos Guestrin |
| 2014 | Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices. José Miguel Hernández-Lobato, Neil Houlsby, Zoubin Ghahramani |
| 2014 | Stochastic Neighbor Compression. Matt J. Kusner, Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal |
| 2014 | Stochastic Variational Inference for Bayesian Time Series Models. Matthew James Johnson, Alan S. Willsky |
| 2014 | Structured Generative Models of Natural Source Code. Chris J. Maddison, Daniel Tarlow |
| 2014 | Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing. Benjamin D. Haeffele, Eric Young, René Vidal |
| 2014 | Structured Prediction of Network Response. Hongyu Su, Aristides Gionis, Juho Rousu |
| 2014 | Structured Recurrent Temporal Restricted Boltzmann Machines. Roni Mittelman, Benjamin Kuipers, Silvio Savarese, Honglak Lee |
| 2014 | Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits. Alekh Agarwal, Daniel J. Hsu, Satyen Kale, John Langford, Lihong Li, Robert E. Schapire |
| 2014 | The Coherent Loss Function for Classification. Wenzhuo Yang, Melvyn Sim, Huan Xu |
| 2014 | The Falling Factorial Basis and Its Statistical Applications. Yu-Xiang Wang, Alexander J. Smola, Ryan J. Tibshirani |
| 2014 | The Inverse Regression Topic Model. Maxim Rabinovich, David M. Blei |
| 2014 | The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation. Sven Kurras, Ulrike von Luxburg, Gilles Blanchard |
| 2014 | Thompson Sampling for Complex Online Problems. Aditya Gopalan, Shie Mannor, Yishay Mansour |
| 2014 | Time-Regularized Interrupting Options (TRIO). Timothy A. Mann, Daniel J. Mankowitz, Shie Mannor |
| 2014 | Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data. Zhiyuan Chen, Bing Liu |
| 2014 | Towards End-To-End Speech Recognition with Recurrent Neural Networks. Alex Graves, Navdeep Jaitly |
| 2014 | Towards Minimax Online Learning with Unknown Time Horizon. Haipeng Luo, Robert E. Schapire |
| 2014 | Towards an optimal stochastic alternating direction method of multipliers. Samaneh Azadi, Suvrit Sra |
| 2014 | Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach. Rémi Bardenet, Arnaud Doucet, Christopher C. Holmes |
| 2014 | Tracking Adversarial Targets. Yasin Abbasi-Yadkori, Peter L. Bartlett, Varun Kanade |
| 2014 | Transductive Learning with Multi-class Volume Approximation. Gang Niu, Bo Dai, Marthinus Christoffel du Plessis, Masashi Sugiyama |
| 2014 | True Online TD(lambda). Harm van Seijen, Richard S. Sutton |
| 2014 | Two-Stage Metric Learning. Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis |
| 2014 | Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models. Robert McGibbon, Bharath Ramsundar, Mohammad Sultan, Gert Kiss, Vijay S. Pande |
| 2014 | Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis. Jian Tang, Zhaoshi Meng, XuanLong Nguyen, Qiaozhu Mei, Ming Zhang |
| 2014 | Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms. Richard Combes, Alexandre Proutière |
| 2014 | Universal Matrix Completion. Srinadh Bhojanapalli, Prateek Jain |
| 2014 | Variational Inference for Sequential Distance Dependent Chinese Restaurant Process. Sergey Bartunov, Dmitry P. Vetrov |
| 2014 | Von Mises-Fisher Clustering Models. Siddharth Gopal, Yiming Yang |
| 2014 | Wasserstein Propagation for Semi-Supervised Learning. Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher |
| 2014 | Weighted Graph Clustering with Non-Uniform Uncertainties. Yudong Chen, Shiau Hong Lim, Huan Xu |