icml2014.md

ICML2014

• Rajhans Samdani, Kai-Wei Chang, Dan Roth. "A Discriminative Latent Variable Model for Online Clustering" | [Home Page] | [PDF]

• Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, Arthur Gretton, Bernhard Schoelkopf. "Kernel Mean Estimation and Stein Effect" | [Home Page] | [PDF]

• Greg Ver Steeg, Aram Galstyan, Fei Sha, Simon DeDeo. "Demystifying Information-Theoretic Clustering" | [Home Page] | [PDF]

• Zongzhang Zhang, David Hsu, Wee Sun Lee. "Covering Number for Efficient Heuristic-based POMDP Planning" | [Home Page] | [PDF]

• Wenzhuo Yang, Melvyn Sim, Huan Xu. "The Coherent Loss Function for Classification" | [Home Page] | [PDF]

• Wenliang Zhong, James Kwok. "Fast Stochastic Alternating Direction Method of Multipliers" | [Home Page] | [PDF]

• Yuxin Chen, Hiroaki Shioi, Cesar Fuentes Montesinos, Lian Pin Koh, Serge Wich, Andreas Krause. "Active Detection via Adaptive Submodularity" | [Home Page] | [PDF]

• Shai Shalev-Shwartz, Tong Zhang. "Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization" | [Home Page] | [PDF]

• Qihang Lin, Lin Xiao. "An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization" | [Home Page] | [PDF]

• Pedro Pinheiro, Ronan Collobert. "Recurrent Convolutional Neural Networks for Scene Labeling" | [Home Page] | [PDF]

• Ping Ma, Michael Mahoney, Bin Yu. "A Statistical Perspective on Algorithmic Leveraging" | [Home Page] | [PDF]

• Aditya Gopalan, Shie Mannor, Yishay Mansour. "Thompson Sampling for Complex Online Problems" | [Home Page] | [PDF]

• Souhaib Ben Taieb, Rob Hyndman. "Boosting multi-step autoregressive forecasts" | [Home Page] | [PDF]

• Arun Rajkumar, Shivani Agarwal. "A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data" | [Home Page] | [PDF]

• Timothy Mann, Shie Mannor. "Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations" | [Home Page] | [PDF]

• Odalric-Ambrym Maillard, Shie Mannor. "Latent Bandits." | [Home Page] | [PDF]

• Trung Nguyen, Edwin Bonilla. "Fast Allocation of Gaussian Process Experts" | [Home Page] | [PDF]

• Siddharth Gopal, Yiming Yang. "Von Mises-Fisher Clustering Models" | [Home Page] | [PDF]

• Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel. "Convergence rates for persistence diagram estimation in Topological Data Analysis" | [Home Page] | [PDF]

• Fabian Gieseke, Justin Heinermann, Cosmin Oancea, Christian Igel. "Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs" | [Home Page] | [PDF]

• Anoop Korattikara, Yutian Chen, Max Welling. "Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget" | [Home Page] | [PDF]

• Jian Tang, Zhaoshi Meng, Xuanlong Nguyen, Qiaozhu Mei, Ming Zhang. "Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis" | [Home Page] | [PDF]

• Maxim Rabinovich, David Blei. "The Inverse Regression Topic Model" | [Home Page] | [PDF]

• Stanley Chan, Edoardo Airoldi. "A Consistent Histogram Estimator for Exchangeable Graph Models" | [Home Page] | [PDF]

• Benjamin Letham, Wei Sun, Anshul Sheopuri. "Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data" | [Home Page] | [PDF]

• Haipeng Luo, Robert Schapire. "Towards Minimax Online Learning with Unknown Time Horizon" | [Home Page] | [PDF]

• Andrew Miller, Luke Bornn, Ryan Adams, Kirk Goldsberry. "Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball" | [Home Page] | [PDF]

• Aaditya Ramdas, Javier Peña. "Margins, Kernels and Non-linear Smoothed Perceptrons" | [Home Page] | [PDF]

• Shike Mei, Jun Zhu, Jerry Zhu. "Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models" | [Home Page] | [PDF]

• Mehryar Mohri, Andres Munoz Medina. "Learning Theory and Algorithms for revenue optimization in second price auctions with reserve" | [Home Page] | [PDF]

• Stefano Ermon, Carla Gomes, Ashish Sabharwal, Bart Selman. "Low-density Parity Constraints for Hashing-Based Discrete Integration" | [Home Page] | [PDF]

• Yevgeny Seldin, Peter Bartlett, Koby Crammer, Yasin Abbasi-Yadkori. "Prediction with Limited Advice and Multiarmed Bandits with Paid Observations" | [Home Page] | [PDF]

• Tien Vu Nguyen, Dinh Phung, Xuanlong Nguyen, Swetha Venkatesh, Hung Bui. "Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts" | [Home Page] | [PDF]

• Rémi Lajugie, Francis Bach, Sylvain Arlot. "Large-Margin Metric Learning for Constrained Partitioning Problems" | [Home Page] | [PDF]

• Justin Solomon, Raif Rustamov, Leonidas Guibas, Adrian Butscher. "Wasserstein Propagation for Semi-Supervised Learning" | [Home Page] | [PDF]

• Aonan Zhang, Jun Zhu, Bo Zhang. "Max-Margin Infinite Hidden Markov Models" | [Home Page] | [PDF]

• Yong Liu, Shali Jiang, Shizhong Liao. "Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function" | [Home Page] | [PDF]

• Shashank Singh, Barnabas Poczos. "Generalized Exponential Concentration Inequality for Renyi Divergence Estimation" | [Home Page] | [PDF]

• Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu. "Boosting with Online Binary Learners for the Multiclass Bandit Problem" | [Home Page] | [PDF]

• Tasuku Soma, Naonori Kakimura, Kazuhiro Inaba, Ken-ichi Kawarabayashi. "Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm" | [Home Page] | [PDF]

• Hossein Azari Soufiani, David Parkes, Lirong Xia. "Computing Parametric Ranking Models via Rank-Breaking" | [Home Page] | [PDF]

• Yasin Abbasi-Yadkori, Peter Bartlett, Varun Kanade. "Tracking Adversarial Targets" | [Home Page] | [PDF]

• Tianlin Shi, Jun Zhu. "Online Bayesian Passive-Aggressive Learning" | [Home Page] | [PDF]

• David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin Riedmiller. "Deterministic Policy Gradient Algorithms" | [Home Page] | [PDF]

• Wenzhao Lian, Vinayak Rao, Brian Eriksson, Lawrence Carin. "Modeling Correlated Arrival Events with Latent Semi-Markov Processes" | [Home Page] | [PDF]

• Rémi Bardenet, Arnaud Doucet, Chris Holmes. "Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach" | [Home Page] | [PDF]

• Ferdinando Cicalese, Eduardo Laber, Aline Medeiros Saettler. "Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost" | [Home Page] | [PDF]

• Chun-Liang Li, Hsuan-Tien Lin. "Condensed Filter Tree for Cost-Sensitive Multi-Label Classification" | [Home Page] | [PDF]

• Francesco Orabona, Tamir Hazan, Anand Sarwate, Tommi Jaakkola. "On Measure Concentration of Random Maximum A-Posteriori Perturbations" | [Home Page] | [PDF]

• Philip Thomas. "Bias in Natural Actor-Critic Algorithms" | [Home Page] | [PDF]

• François Denis, Mattias Gybels, Amaury Habrard. "Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning" | [Home Page] | [PDF]

• Zhixing Li, Siqiang Wen, Juanzi Li, Peng Zhang, Jie Tang. "On Modelling Non-linear Topical Dependencies" | [Home Page] | [PDF]

• Benigno Uria, Iain Murray, Hugo Larochelle. "A Deep and Tractable Density Estimator" | [Home Page] | [PDF]

• Prateek Jain, Abhradeep Guha Thakurta. "(Near) Dimension Independent Risk Bounds for Differentially Private Learning" | [Home Page] | [PDF]

• Jiyan Yang, Vikas Sindhwani, Haim Avron, Michael Mahoney. "Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels" | [Home Page] | [PDF]

• Nikos Karampatziakis, Paul Mineiro. "Discriminative Features via Generalized Eigenvectors" | [Home Page] | [PDF]

• Ji Liu, Jieping Ye, Ryohei Fujimaki. "Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint" | [Home Page] | [PDF]

• Travis Dick, Andras Gyorgy, Csaba Szepesvari. "Online Learning in Markov Decision Processes with Changing Cost Sequences" | [Home Page] | [PDF]

• Richard Combes, Alexandre Proutiere. "Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms" | [Home Page] | [PDF]

• Arun Iyer, Saketha Nath, Sunita Sarawagi. "Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection" | [Home Page] | [PDF]

• Azadeh Khaleghi, Daniil Ryabko. "Asymptotically consistent estimation of the number of change points in highly dependent time series" | [Home Page] | [PDF]

• Uri Shalit, Gal Chechik. "Coordinate-descent for learning orthogonal matrices through Givens rotations" | [Home Page] | [PDF]

• Anshumali Shrivastava, Ping Li. "Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search" | [Home Page] | [PDF]

• Cho-Jui Hsieh, Si Si, Inderjit Dhillon. "A Divide-and-Conquer Solver for Kernel Support Vector Machines" | [Home Page] | [PDF]

• Cho-Jui Hsieh, Peder Olsen. "Nuclear Norm Minimization via Active Subspace Selection" | [Home Page] | [PDF]

• Sanjeev Arora, Aditya Bhaskara, Rong Ge, Tengyu Ma. "Provable Bounds for Learning Some Deep Representations" | [Home Page] | [PDF]

• Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit Dhillon. "Large-scale Multi-label Learning with Missing Labels" | [Home Page] | [PDF]

• Rashish Tandon, Pradeep Ravikumar. "Learning Graphs with a Few Hubs" | [Home Page] | [PDF]

• Alexandre Lacoste, Mario Marchand, François Laviolette, Hugo Larochelle. "Agnostic Bayesian Learning of Ensembles" | [Home Page] | [PDF]

• Samaneh Azadi, Suvrit Sra. "Towards an optimal stochastic alternating direction method of multipliers" | [Home Page] | [PDF]

• Shiwei Lan, Bo Zhou, Babak Shahbaba. "Spherical Hamiltonian Monte Carlo for Constrained Target Distributions" | [Home Page] | [PDF]

• Monir Hajiaghayi, Bonnie Kirkpatrick, Liangliang Wang, Alexandre Bouchard-Côté. "Efficient Continuous-Time Markov Chain Estimation" | [Home Page] | [PDF]

• Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell. "DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition" | [Home Page] | [PDF]

• Dani Yogatama, Noah Smith. "Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers" | [Home Page] | [PDF]

• Misha Denil, David Matheson, Nando De Freitas. "Narrowing the Gap: Random Forests In Theory and In Practice" | [Home Page] | [PDF]

• Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel Ward. "Coherent Matrix Completion" | [Home Page] | [PDF]

• David Inouye, Pradeep Ravikumar, Inderjit Dhillon. "Admixture of Poisson MRFs: A Topic Model with Word Dependencies" | [Home Page] | [PDF]

• Harm Seijen, Rich Sutton. "True Online TD(lambda)" | [Home Page] | [PDF]

• Si Si, Cho-Jui Hsieh, Inderjit Dhillon. "Memory Efficient Kernel Approximation" | [Home Page] | [PDF]

• Amirmohammad Rooshenas, Daniel Lowd. "Learning Sum-Product Networks with Direct and Indirect Variable Interactions" | [Home Page] | [PDF]

• Jascha Sohl-Dickstein, Mayur Mudigonda, Michael DeWeese. "Hamiltonian Monte Carlo Without Detailed Balance" | [Home Page] | [PDF]

• Jacob Steinhardt, Percy Liang. "Filtering with Abstract Particles" | [Home Page] | [PDF]

• Taiji Suzuki. "Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers" | [Home Page] | [PDF]

• Jian Zhou, Olga Troyanskaya. "Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction" | [Home Page] | [PDF]

• Frank Hutter, Holger Hoos, Kevin Leyton-Brown. "An Efficient Approach for Assessing Hyperparameter Importance" | [Home Page] | [PDF]

• Ke Sun, Stéphane Marchand-Maillet. "An Information Geometry of Statistical Manifold Learning" | [Home Page] | [PDF]

• Masrour Zoghi, Shimon Whiteson, Remi Munos, Maarten Rijke. "Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem" | [Home Page] | [PDF]

• Raffay Hamid, Ying Xiao, Alex Gittens, Dennis Decoste. "Compact Random Feature Maps" | [Home Page] | [PDF]

• Aryeh Kontorovich. "Concentration in unbounded metric spaces and algorithmic stability" | [Home Page] | [PDF]

• Daniel Hsu, Sivan Sabato. "Heavy-tailed regression with a generalized median-of-means" | [Home Page] | [PDF]

• Michal Valko, Remi Munos, Branislav Kveton, Tomáš Kocák. "Spectral Bandits for Smooth Graph Functions" | [Home Page] | [PDF]

• Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Lei Zhang. "Robust Principal Component Analysis with Complex Noise" | [Home Page] | [PDF]

• Qixing Huang, Yuxin Chen, Leonidas Guibas. "Scalable Semidefinite Relaxation for Maximum A Posterior Estimation" | [Home Page] | [PDF]

• Cun Mu, Bo Huang, John Wright, Donald Goldfarb. "Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery" | [Home Page] | [PDF]

• Sanmay Das, Allen Lavoie. "Automated inference of point of view from user interactions in collective intelligence venues" | [Home Page] | [PDF]

• Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye. "Rank-One Matrix Pursuit for Matrix Completion" | [Home Page] | [PDF]

• Yuxin Chen, Leonidas Guibas, Qixing Huang. "Near-Optimal Joint Object Matching via Convex Relaxation" | [Home Page] | [PDF]

• Dmitry Malioutov, Nikolai Slavov. "Convex Total Least Squares" | [Home Page] | [PDF]

• Pratik Jawanpuria, Manik Varma, Saketha Nath. "On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection" | [Home Page] | [PDF]

• Xiaotong Yuan, Ping Li, Tong Zhang. "Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization" | [Home Page] | [PDF]

• Jean Honorio, Tommi Jaakkola. "A Unified Framework for Consistency of Regularized Loss Minimizers" | [Home Page] | [PDF]

• Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye. "Geodesic Distance Function Learning via Heat Flow on Vector Fields" | [Home Page] | [PDF]

• Adish Singla, Ilija Bogunovic, Gabor Bartok, Amin Karbasi, Andreas Krause. "Near-Optimally Teaching the Crowd to Classify" | [Home Page] | [PDF]

• Walid Krichene, Benjamin Drighès, Alexandre Bayen. "On the convergence of no-regret learning in selfish routing" | [Home Page] | [PDF]

• Jérémie Mary, Philippe Preux, Olivier Nicol. "Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques" | [Home Page] | [PDF]

• Aviv Tamar, Shie Mannor, Huan Xu. "Scaling Up Robust MDPs using Function Approximation" | [Home Page] | [PDF]

• Wei Ping, Qiang Liu, Alex Ihler. "Marginal Structured SVM with Hidden Variables" | [Home Page] | [PDF]

• Yariv Mizrahi, Misha Denil, Nando De Freitas. "Linear and Parallel Learning of Markov Random Fields" | [Home Page] | [PDF]

• Yarin Gal, Zoubin Ghahramani. "Pitfalls in the use of Parallel Inference for the Dirichlet Process" | [Home Page] | [PDF]

• Yuan Zhou, Xi Chen, Jian Li. "Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing" | [Home Page] | [PDF]

• Yoshua Bengio, Eric Laufer, Guillaume Alain, Jason Yosinski. "Deep Generative Stochastic Networks Trainable by Backprop" | [Home Page] | [PDF]

• Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, Jieping Ye. "A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models" | [Home Page] | [PDF]

• Yudong Chen, Jiaming Xu. "Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting" | [Home Page] | [PDF]

• Emile Contal, Vianney Perchet, Nicolas Vayatis. "Gaussian Process Optimization with Mutual Information" | [Home Page] | [PDF]

• Dengyong Zhou, Qiang Liu, John Platt, Christopher Meek. "Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy" | [Home Page] | [PDF]

• Mathias Niepert, Pedro Domingos. "Exchangeable Variable Models" | [Home Page] | [PDF]

• Shai Ben-David, Nika Haghtalab. "Clustering in the Presence of Background Noise" | [Home Page] | [PDF]

• Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye. "Safe Screening with Variational Inequalities and Its Application to Lasso" | [Home Page] | [PDF]

• Shan-Hung Wu, Hao-Heng Chien, Kuan-Hua Lin, Philip Yu. "Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks" | [Home Page] | [PDF]

• Joan Bruna Estrach, Arthur Szlam, Yann LeCun. "Signal recovery from Pooling Representations" | [Home Page] | [PDF]

• Emma Brunskill, Lihong Li. "PAC-inspired Option Discovery in Lifelong Reinforcement Learning" | [Home Page] | [PDF]

• Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang. "Multi-label Classification via Feature-aware Implicit Label Space Encoding" | [Home Page] | [PDF]

• Sebastien Bratieres, Novi Quadrianto, Sebastian Nowozin, Zoubin Ghahramani. "Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications" | [Home Page] | [PDF]

• Stephan Clémençon, Sylvain Robbiano. "Anomaly Ranking as Supervised Bipartite Ranking" | [Home Page] | [PDF]

• Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra. "Hierarchical Quasi-Clustering Methods for Asymmetric Networks" | [Home Page] | [PDF]

• Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda. "Rectangular Tiling Process" | [Home Page] | [PDF]

• Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis. "Two-Stage Metric Learning" | [Home Page] | [PDF]

• Jose Miguel Hernandez-Lobato, Neil Houlsby, Zoubin Ghahramani. "Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices" | [Home Page] | [PDF]

• Eunho Yang, Aurelie Lozano, Pradeep Ravikumar. "Elementary Estimators for High-Dimensional Linear Regression" | [Home Page] | [PDF]

• Eunho Yang, Aurelie Lozano, Pradeep Ravikumar. "Elementary Estimators for Sparse Covariance Matrices and other Structured Moments" | [Home Page] | [PDF]

• Yuan Fang, Kevin Chang, Hady Lauw. "Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically" | [Home Page] | [PDF]

• Chengtao Li, Jun Zhu, Jianfei Chen. "Bayesian Max-margin Multi-Task Learning with Data Augmentation" | [Home Page] | [PDF]

• Zhiwei Qin, Weichang Li, Firdaus Janoos. "Sparse Reinforcement Learning via Convex Optimization" | [Home Page] | [PDF]

• Filipe Rodrigues, Francisco Pereira, Bernardete Ribeiro. "Gaussian Process Classification and Active Learning with Multiple Annotators" | [Home Page] | [PDF]

• Hongyu Su, Aristides Gionis, Juho Rousu. "Structured Prediction of Network Response" | [Home Page] | [PDF]

• Gavin Taylor, Connor Geer, David Piekut. "An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy" | [Home Page] | [PDF]

• Zhirong Yang, Jaakko Peltonen, Samuel Kaski. "Optimization Equivalence of Divergences Improves Neighbor Embedding" | [Home Page] | [PDF]

• Ji Liu, Steve Wright, Christopher Re, Victor Bittorf, Srikrishna Sridhar. "An Asynchronous Parallel Stochastic Coordinate Descent Algorithm" | [Home Page] | [PDF]

• Samory Kpotufe, Eleni Sgouritsa, Dominik Janzing, Bernhard Schölkopf. "Consistency of Causal Inference under the Additive Noise Model" | [Home Page] | [PDF]

• Alexander Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun. "Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm" | [Home Page] | [PDF]

• Alan Malek, Yasin Abbasi-Yadkori, Peter Bartlett. "Linear Programming for Large-Scale Markov Decision Problems" | [Home Page] | [PDF]

• Feiping Nie, Yizhen Huang, Heng Huang. "Linear Time Solver for Primal SVM" | [Home Page] | [PDF]

• Seong-Hwan Jun, Alexandre Bouchard-Côté. "Memory (and Time) Efficient Sequential Monte Carlo" | [Home Page] | [PDF]

• Jie Wang, Peter Wonka, Jieping Ye. "Scaling SVM and Least Absolute Deviations via Exact Data Reduction" | [Home Page] | [PDF]

• Xin Li, Yuhong Guo. "Latent Semantic Representation Learning for Scene Classification" | [Home Page] | [PDF]

• Alekh Agarwal, Sham Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant. "Least Squares Revisited: Scalable Approaches for Multi-class Prediction" | [Home Page] | [PDF]

• Pranjal Awasthi, Maria Balcan, Konstantin Voevodski. "Local algorithms for interactive clustering" | [Home Page] | [PDF]

• Ngo Ahn Vien, Marc Toussaint. "Model-Based Relational RL When Object Existence is Partially Observable" | [Home Page] | [PDF]

• Rich Sutton, Ashique Rupam Mahmood, Doina Precup, Hado Hasselt. "A new Q(lambda) with interim forward view and Monte Carlo equivalence" | [Home Page] | [PDF]

• Mohamad Ali Torkamani, Daniel Lowd. "On Robustness and Regularization of Structural Support Vector Machines" | [Home Page] | [PDF]

• Oscar Beijbom, Mohammad Saberian, David Kriegman, Nuno Vasconcelos. "Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting" | [Home Page] | [PDF]

• Ryan Kiros, Ruslan Salakhutdinov, Rich Zemel. "Multimodal Neural Language Models" | [Home Page] | [PDF]

• Jascha Sohl-Dickstein, Ben Poole, Surya Ganguli. "Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods" | [Home Page] | [PDF]

• Xinyang Yi, Constantine Caramanis, Sujay Sanghavi. "Alternating Minimization for Mixed Linear Regression" | [Home Page] | [PDF]

• Matt Kusner, Stephen Tyree, Kilian Weinberger, Kunal Agrawal. "Stochastic Neighbor Compression" | [Home Page] | [PDF]

• Junfeng Wen, Chun-Nam Yu, Russell Greiner. "Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification" | [Home Page] | [PDF]

• Le Song, Animashree Anandkumar, Bo Dai, Bo Xie. "Nonparametric Estimation of Multi-View Latent Variable Models" | [Home Page] | [PDF]

• Chris Maddison, Daniel Tarlow. "Structured Generative Models of Natural Source Code" | [Home Page] | [PDF]

• Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin, Anil Jain. "A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data" | [Home Page] | [PDF]

• Panagiotis Toulis, Edoardo Airoldi, Jason Rennie. "Statistical analysis of stochastic gradient methods for generalized linear models" | [Home Page] | [PDF]

• Ping Li, Michael Mitzenmacher, Anshumali Shrivastava. "Coding for Random Projections" | [Home Page] | [PDF]

• Marco Cuturi, Arnaud Doucet. "Fast Computation of Wasserstein Barycenters" | [Home Page] | [PDF]

• Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi, Chiranjib Bhattacharyya. "Global graph kernels using geometric embeddings" | [Home Page] | [PDF]

• Zhiyuan Chen, Bing Liu. "Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data" | [Home Page] | [PDF]

• Alon Vinnikov, Shai Shalev-Shwartz. "K-means recovers ICA filters when independent components are sparse" | [Home Page] | [PDF]

• Yuekai Sun, Stratis Ioannidis, Andrea Montanari. "Learning Mixtures of Linear Classifiers" | [Home Page] | [PDF]

• Yu-Xiang Wang, Alex Smola, Ryan Tibshirani. "The Falling Factorial Basis and Its Statistical Applications" | [Home Page] | [PDF]

• Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet, Mohan Kankanhalli. "Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes" | [Home Page] | [PDF]

• Andreas Argyriou, Francesco Dinuzzo. "A Unifying View of Representer Theorems" | [Home Page] | [PDF]

• Claudio Gentile, Shuai Li, Giovanni Zappella. "Online Clustering of Bandits" | [Home Page] | [PDF]

• Neil Houlsby, Jose Miguel Hernandez-Lobato, Zoubin Ghahramani. "Cold-start Active Learning with Robust Ordinal Matrix Factorization" | [Home Page] | [PDF]

• Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Pavel Efros, Klemens Böhm. "Multivariate Maximal Correlation Analysis" | [Home Page] | [PDF]

• Yasuhiro Fujiwara, Go Irie. "Efficient Label Propagation" | [Home Page] | [PDF]

• Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schoelkopf. "Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm" | [Home Page] | [PDF]

• Ling Yan, Wu-Jun Li, Gui-Rong Xue, Dingyi Han. "Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising" | [Home Page] | [PDF]

• Alexander Novikov, Anton Rodomanov, Anton Osokin, Dmitry Vetrov. "Putting MRFs on a Tensor Train" | [Home Page] | [PDF]

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