ICML 2016 Accepted Papers

The full list of 322 papers accepted at ICML 2016 (International Conference on Machine Learning). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.

1. Asynchronous Methods for Deep Reinforcement LearningPoster13,016 citations
2. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep LearningPoster12,567 citations
3. Dueling Network Architectures for Deep Reinforcement LearningPoster5,833 citations
4. Generative Adversarial Text to Image SynthesisPoster4,407 citations
5. Complex Embeddings for Simple Link PredictionPoster4,125 citations
6. Deep Speech 2 : End-to-End Speech Recognition in English and MandarinPoster4,031 citations
7. Unsupervised Deep Embedding for Clustering AnalysisPoster4,003 citations
8. Meta-Learning with Memory-Augmented Neural NetworksPoster3,349 citations
9. Pixel Recurrent Neural NetworksPoster3,134 citations
10. Autoencoding beyond pixels using a learned similarity metricPoster2,895 citations
11. Learning Convolutional Neural Networks for GraphsPoster2,803 citations
12. Revisiting Semi-Supervised Learning with Graph EmbeddingsPoster2,650 citations
13. Group Equivariant Convolutional NetworksPoster2,525 citations
14. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and AccuracyPoster2,367 citations
15. Benchmarking Deep Reinforcement Learning for Continuous ControlPoster2,245 citations
16. Large-Margin Softmax Loss for Convolutional Neural NetworksPoster1,984 citations
17. Ask Me Anything: Dynamic Memory Networks for Natural Language ProcessingPoster1,616 citations
18. Train faster, generalize better: Stability of stochastic gradient descentPoster1,577 citations
19. Continuous Deep Q-Learning with Model-based AccelerationPoster1,384 citations
20. Guided Cost Learning: Deep Inverse Optimal Control via Policy OptimizationPoster1,275 citations
21. Texture Networks: Feed-forward Synthesis of Textures and Stylized ImagesPoster1,191 citations
22. Fixed Point Quantization of Deep Convolutional NetworksPoster1,129 citations
23. Unitary Evolution Recurrent Neural NetworksPoster1,018 citations
24. From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label ClassificationPoster974 citations
25. Learning Representations for Counterfactual InferencePoster970 citations
26. Dynamic Memory Networks for Visual and Textual Question AnsweringPoster935 citations
27. Discriminative Embeddings of Latent Variable Models for Structured DataPoster917 citations
28. Doubly Robust Off-policy Value Evaluation for Reinforcement LearningPoster905 citations
29. Recommendations as Treatments: Debiasing Learning and EvaluationPoster834 citations
30. Neural Variational Inference for Text ProcessingPoster821 citations
31. Data-Efficient Off-Policy Policy Evaluation for Reinforcement LearningPoster805 citations
32. Stochastic Variance Reduction for Nonconvex OptimizationPoster738 citations
33. Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear UnitsPoster693 citations
34. A Kernelized Stein Discrepancy for Goodness-of-fit TestsPoster593 citations
35. Hyperparameter optimization with approximate gradientPoster573 citations
36. Deep Structured Energy Based Models for Anomaly DetectionPoster567 citations
37. Auxiliary Deep Generative ModelsPoster537 citations
38. Gromov-Wasserstein Averaging of Kernel and Distance MatricesPoster499 citations
39. Low-rank Solutions of Linear Matrix Equations via Procrustes FlowPoster462 citations
40. Variance Reduction for Faster Non-Convex OptimizationPoster462 citations
41. Exploiting Cyclic Symmetry in Convolutional Neural NetworksPoster458 citations
42. Robust Random Cut Forest Based Anomaly Detection on StreamsPoster458 citations
43. Domain Adaptation with Conditional Transferable ComponentsPoster435 citations
44. Discrete Distribution Estimation under Local PrivacyPoster424 citations
45. Opponent Modeling in Deep Reinforcement LearningPoster423 citations
46. Hierarchical Variational ModelsPoster414 citations
47. Control of Memory, Active Perception, and Action in MinecraftPoster397 citations
48. A Kernel Test of Goodness of FitPoster392 citations
49. Noisy Activation FunctionsPoster380 citations
50. A Theory of Generative ConvNetPoster379 citations
51. Learning Physical Intuition of Block Towers by ExamplePoster375 citations
52. Graying the black box: Understanding DQNsPoster371 citations
53. Generalization and Exploration via Randomized Value FunctionsPoster365 citations
54. Variational Inference for Monte Carlo ObjectivesPoster365 citations
55. Supervised and Semi-Supervised Text Categorization using LSTM for Region EmbeddingsPoster355 citations
56. Training Neural Networks Without Gradients: A Scalable ADMM ApproachPoster341 citations
57. Structured and Efficient Variational Deep Learning with Matrix Gaussian PosteriorsPoster330 citations
58. A Neural Autoregressive Approach to Collaborative FilteringPoster328 citations
59. One-Shot Generalization in Deep Generative ModelsPoster319 citations
60. A Kronecker-factored approximate Fisher matrix for convolution layersPoster310 citations
61. Predictive Entropy Search for Multi-objective Bayesian OptimizationPoster297 citations
62. Black-Box Alpha Divergence MinimizationPoster294 citations
63. Deep Gaussian Processes for Regression using Approximate Expectation PropagationPoster291 citations
64. Learning Granger Causality for Hawkes ProcessesPoster290 citations
65. Evasion and Hardening of Tree Ensemble ClassifiersPoster271 citations
66. Structured Prediction Energy NetworksPoster269 citations
67. PHOG: Probabilistic Model for CodePoster257 citations
68. Network MorphismPoster254 citations
69. Persistence weighted Gaussian kernel for topological data analysisPoster245 citations
70. Mixture Proportion Estimation via Kernel Embeddings of DistributionsPoster242 citations
71. Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex ObjectivesPoster239 citations
72. PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel ClassificationPoster233 citations
73. Geometric Mean Metric LearningPoster232 citations
74. Associative Long Short-Term MemoryPoster226 citations
75. Scalable Gradient-Based Tuning of Continuous Regularization HyperparametersPoster219 citations
76. Even Faster Accelerated Coordinate Descent Using Non-Uniform SamplingPoster217 citations
77. Near Optimal Behavior via Approximate State AbstractionPoster210 citations
78. Variance-Reduced and Projection-Free Stochastic OptimizationPoster206 citations
79. Stochastic Block BFGS: Squeezing More Curvature out of DataPoster205 citations
80. Learning privately from multiparty dataPoster203 citations
81. Multi-Player Bandits – a Musical Chairs ApproachPoster203 citations
82. Convolutional Rectifier Networks as Generalized Tensor DecompositionsPoster197 citations
83. Recurrent Orthogonal Networks and Long-Memory TasksPoster195 citations
84. Distributed Clustering of Linear Bandits in Peer to Peer NetworksPoster193 citations
85. Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational IssuesPoster193 citations
86. Fast Constrained Submodular Maximization: Personalized Data SummarizationPoster192 citations
87. A Variational Analysis of Stochastic Gradient AlgorithmsPoster190 citations
88. Adaptive Algorithms for Online Convex Optimization with Long-term ConstraintsPoster190 citations
89. An optimal algorithm for the Thresholding Bandit ProblemPoster185 citations
90. Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image ClassificationPoster177 citations
91. Model-Free Imitation Learning with Policy OptimizationPoster177 citations
92. Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence TestingPoster174 citations
93. Contextual Combinatorial Cascading BanditsPoster164 citations
94. Dynamic Capacity NetworksPoster160 citations
95. SDCA without Duality, Regularization, and Individual ConvexityPoster159 citations
96. Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy GradientPoster155 citations
97. Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep NetworksPoster154 citations
98. Low-rank tensor completion: a Riemannian manifold preconditioning approachPoster153 citations
99. On the Quality of the Initial Basin in Overspecified Neural NetworksPoster153 citations
100. Compressive Spectral ClusteringPoster150 citations
101. Conservative BanditsPoster144 citations
102. Loss factorization, weakly supervised learning and label noise robustnessPoster143 citations
103. Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression DataPoster140 citations
104. Deconstructing the Ladder Network ArchitecturePoster137 citations
105. Extreme F-measure Maximization using Sparse Probability EstimatesPoster133 citations
106. On Graduated Optimization for Stochastic Non-Convex ProblemsPoster133 citations
107. Asymmetric Multi-task Learning Based on Task Relatedness and LossPoster129 citations
108. L1-regularized Neural Networks are Improperly Learnable in Polynomial TimePoster128 citations
109. Persistent RNNs: Stashing Recurrent Weights On-ChipPoster126 citations
110. Inference Networks for Sequential Monte Carlo in Graphical ModelsPoster124 citations
111. Training Deep Neural Networks via Direct Loss MinimizationPoster124 citations
112. Gossip Dual Averaging for Decentralized Optimization of Pairwise FunctionsPoster123 citations
113. Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and ConvexityPoster118 citations
114. Learning Simple Algorithms from ExamplesPoster116 citations
115. SDNA: Stochastic Dual Newton Ascent for Empirical Risk MinimizationPoster115 citations
116. Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger FlowPoster114 citations
117. Nonparametric Canonical Correlation AnalysisPoster112 citations
118. Learning End-to-end Video Classification with Rank-PoolingPoster110 citations
119. Bayesian Poisson Tucker Decomposition for Learning the Structure of International RelationsPoster105 citations
120. Efficient Algorithms for Adversarial Contextual LearningPoster105 citations
121. Convergence of Stochastic Gradient Descent for PCAPoster103 citations
122. Preconditioning Kernel MatricesPoster103 citations
123. Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and ControlPoster102 citations
124. Minimizing the Maximal Loss: How and WhyPoster100 citations
125. Estimating Cosmological Parameters from the Dark Matter DistributionPoster98 citations
126. Fast DPP Sampling for Nystrom with Application to Kernel MethodsPoster98 citations
127. Polynomial Networks and Factorization Machines: New Insights and Efficient Training AlgorithmsPoster98 citations
128. Learning Population-Level Diffusions with Generative RNNsPoster97 citations
129. Why Regularized Auto-Encoders learn Sparse Representation?Poster97 citations
130. DCM Bandits: Learning to Rank with Multiple ClicksPoster96 citations
131. Pareto Frontier Learning with Expensive Correlated ObjectivesPoster93 citations
132. Faster Eigenvector Computation via Shift-and-Invert PreconditioningPoster92 citations
133. Greedy Column Subset Selection: New Bounds and Distributed AlgorithmsPoster90 citations
134. Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMsPoster90 citations
135. Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation AnalysisPoster88 citations
136. Multi-Bias Non-linear Activation in Deep Neural NetworksPoster86 citations
137. A New PAC-Bayesian Perspective on Domain AdaptationPoster85 citations
138. Efficient Private Empirical Risk Minimization for High-dimensional LearningPoster85 citations
139. Generalization Properties and Implicit Regularization for Multiple Passes SGMPoster85 citations
140. Learning from Multiway Data: Simple and Efficient Tensor RegressionPoster84 citations
141. Fast k-means with accurate boundsPoster83 citations
142. Stochastic Quasi-Newton Langevin Monte CarloPoster81 citations
143. Strongly-Typed Recurrent Neural NetworksPoster81 citations
144. Stochastic Variance Reduced Optimization for Nonconvex Sparse LearningPoster79 citations
145. The knockoff filter for FDR control in group-sparse and multitask regressionPoster79 citations
146. Adaptive Sampling for SGD by Exploiting Side InformationPoster78 citations
147. Online Stochastic Linear Optimization under One-bit FeedbackPoster78 citations
148. Linking losses for density ratio and class-probability estimationPoster76 citations
149. Stratified Sampling Meets Machine LearningPoster76 citations
150. Estimating Structured Vector Autoregressive ModelsPoster75 citations
151. Expressiveness of Rectifier NetworksPoster75 citations
152. Online Low-Rank Subspace Clustering by Basis Dictionary PursuitPoster75 citations
153. BISTRO: An Efficient Relaxation-Based Method for Contextual BanditsPoster74 citations
154. Primal-Dual Rates and CertificatesPoster73 citations
155. The Teaching Dimension of Linear LearnersPoster73 citations
156. Anytime optimal algorithms in stochastic multi-armed banditsPoster72 citations
157. Data-driven Rank Breaking for Efficient Rank AggregationPoster72 citations
158. Isotonic Hawkes ProcessesPoster71 citations
159. Learning and Inference via Maximum Inner Product SearchPoster71 citations
160. Fast methods for estimating the Numerical rank of large matricesPoster70 citations
161. Conditional Bernoulli Mixtures for Multi-label ClassificationPoster69 citations
162. Dictionary Learning for Massive Matrix FactorizationPoster69 citations
163. Online Learning with Feedback Graphs Without the GraphsPoster68 citations
164. Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov ModelPoster67 citations
165. Boolean Matrix Factorization and Noisy Completion via Message PassingPoster63 citations
166. Estimating Maximum Expected Value through Gaussian ApproximationPoster63 citations
167. A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression ModelsPoster62 citations
168. Learning Mixtures of Plackett-Luce ModelsPoster61 citations
169. Learning to Filter with Predictive State Inference MachinesPoster60 citations
170. Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs SamplingPoster59 citations
171. Estimating Accuracy from Unlabeled Data: A Bayesian ApproachPoster59 citations
172. Exact Exponent in Optimal Rates for CrowdsourcingPoster59 citations
173. ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit AdmissionPoster59 citations
174. Efficient Learning with a Family of Nonconvex Regularizers by Redistributing NonconvexityPoster58 citations
175. Simultaneous Safe Screening of Features and Samples in Doubly Sparse ModelingPoster58 citations
176. Collapsed Variational Inference for Sum-Product NetworksPoster57 citations
177. Dropout distillationPoster56 citations
178. Parallel and Distributed Block-Coordinate Frank-Wolfe AlgorithmsPoster56 citations
179. Sparse Nonlinear Regression: Parameter Estimation under NonconvexityPoster56 citations
180. Interactive Bayesian Hierarchical ClusteringPoster55 citations
181. Recovery guarantee of weighted low-rank approximation via alternating minimizationPoster55 citations
182. Solving Ridge Regression using Sketched Preconditioned SVRGPoster55 citations
183. Model-Free Trajectory Optimization for Reinforcement LearningPoster54 citations
184. Stability of Controllers for Gaussian Process Forward ModelsPoster54 citations
185. Algorithms for Optimizing the Ratio of Submodular FunctionsPoster53 citations
186. Correlation Clustering and Biclustering with Locally Bounded ErrorsPoster52 citations
187. Optimality of Belief Propagation for Crowdsourced ClassificationPoster52 citations
188. Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search MethodsPoster52 citations
189. A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite SumsPoster51 citations
190. Additive Approximations in High Dimensional Nonparametric Regression via the SALSAPoster51 citations
191. Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient AlgorithmPoster51 citations
192. Low-Rank Matrix Approximation with StabilityPoster51 citations
193. Starting Small - Learning with Adaptive Sample SizesPoster51 citations
194. A Deep Learning Approach to Unsupervised Ensemble LearningPoster50 citations
195. A Self-Correcting Variable-Metric Algorithm for Stochastic OptimizationPoster50 citations
196. No-Regret Algorithms for Heavy-Tailed Linear BanditsPoster50 citations
197. The Information-Theoretic Requirements of Subspace Clustering with Missing DataPoster50 citations
198. Recycling Randomness with Structure for Sublinear time Kernel ExpansionsPoster49 citations
199. Robust Principal Component Analysis with Side InformationPoster49 citations
200. Community Recovery in Graphs with LocalityPoster48 citations
201. Hawkes Processes with Stochastic ExcitationsPoster47 citations
202. Learning to Generate with MemoryPoster47 citations
203. No Oops, You Won’t Do It Again: Mechanisms for Self-correction in CrowdsourcingPoster47 citations
204. Speeding up k-means by approximating Euclidean distances via block vectorsPoster47 citations
205. Smooth Imitation Learning for Online Sequence PredictionPoster46 citations
206. Truthful Univariate EstimatorsPoster46 citations
207. Analysis of Deep Neural Networks with Extended Data Jacobian MatrixPoster45 citations
208. Diversity-Promoting Bayesian Learning of Latent Variable ModelsPoster45 citations
209. Power of Ordered Hypothesis TestingPoster45 citations
210. A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose EstimationPoster44 citations
211. A Simple and Strongly-Local Flow-Based Method for Cut ImprovementPoster44 citations
212. Interacting Particle Markov Chain Monte CarloPoster44 citations
213. On the Iteration Complexity of Oblivious First-Order Optimization AlgorithmsPoster44 citations
214. Correcting Forecasts with Multifactor Neural AttentionPoster43 citations
215. Binary embeddings with structured hashed projectionsPoster42 citations
216. DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution RegressionPoster42 citations
217. The Sum-Product Theorem: A Foundation for Learning Tractable ModelsPoster42 citations
218. Automatic Construction of Nonparametric Relational Regression Models for Multiple Time SeriesPoster41 citations
219. Fast k-Nearest Neighbour Search via Dynamic Continuous IndexingPoster40 citations
220. Differentially Private Policy EvaluationPoster39 citations
221. Learning Sparse Combinatorial Representations via Two-stage Submodular MaximizationPoster39 citations
222. Principal Component Projection Without Principal Component AnalysisPoster39 citations
223. Softened Approximate Policy Iteration for Markov GamesPoster39 citations
224. Fast Algorithms for Segmented RegressionPoster38 citations
225. Hierarchical Decision Making In Electricity Grid ManagementPoster38 citations
226. Hierarchical Compound Poisson FactorizationPoster37 citations
227. Provable Algorithms for Inference in Topic ModelsPoster36 citations
228. Stochastic Optimization for Multiview Representation Learning using Partial Least SquaresPoster35 citations
229. Why Most Decisions Are Easy in Tetris—And Perhaps in Other Sequential Decision Problems, As WellPoster35 citations
230. Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum DesignPoster34 citations
231. Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient MatchingPoster34 citations
232. The Variational Nystrom method for large-scale spectral problemsPoster34 citations
233. Doubly Decomposing Nonparametric Tensor RegressionPoster33 citations
234. Parameter Estimation for Generalized Thurstone Choice ModelsPoster33 citations
235. Representational Similarity Learning with Application to Brain NetworksPoster33 citations
236. The Arrow of Time in Multivariate Time SeriesPoster33 citations
237. Shifting Regret, Mirror Descent, and MatricesPoster32 citations
238. Towards Faster Rates and Oracle Property for Low-Rank Matrix EstimationPoster31 citations
239. A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row SamplingPoster30 citations
240. On the Consistency of Feature Selection With Lasso for Non-linear TargetsPoster30 citations
241. Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive DependenciesPoster30 citations
242. The Information SievePoster30 citations
243. BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy SurfacesPoster29 citations
244. Bidirectional Helmholtz MachinesPoster29 citations
245. Discrete Deep Feature Extraction: A Theory and New ArchitecturesPoster29 citations
246. How to Fake Multiply by a Gaussian MatrixPoster29 citations
247. The Knowledge Gradient for Sequential Decision Making with Stochastic Binary FeedbacksPoster29 citations
248. Importance Sampling Tree for Large-scale Empirical ExpectationPoster28 citations
249. ADIOS: Architectures Deep In Output SpacePoster27 citations
250. Faster Convex Optimization: Simulated Annealing with an Efficient Universal BarrierPoster27 citations
251. Gaussian process nonparametric tensor estimator and its minimax optimalityPoster27 citations
252. Generalized Direct Change Estimation in Ising Model StructurePoster27 citations
253. K-Means Clustering with Distributed DimensionsPoster27 citations
254. Minimum Regret Search for Single- and Multi-Task OptimizationPoster27 citations
255. No penalty no tears: Least squares in high-dimensional linear modelsPoster27 citations
256. Energetic Natural Gradient DescentPoster26 citations
257. Anytime Exploration for Multi-armed Bandits using Confidence InformationPoster24 citations
258. The Label Complexity of Mixed-Initiative Classifier TrainingPoster24 citations
259. On the Analysis of Complex Backup Strategies in Monte Carlo Tree SearchPoster23 citations
260. Gaussian quadrature for matrix inverse forms with applicationsPoster22 citations
261. Markov-modulated Marked Poisson Processes for Check-in DataPoster22 citations
262. Tensor Decomposition via Joint Matrix Schur DecompositionPoster21 citations
263. Experimental Design on a Budget for Sparse Linear Models and ApplicationsPoster20 citations
264. Scalable Discrete Sampling as a Multi-Armed Bandit ProblemPoster20 citations
265. Cross-Graph Learning of Multi-Relational AssociationsPoster19 citations
266. Nonlinear Statistical Learning with Truncated Gaussian Graphical ModelsPoster19 citations
267. Partition Functions from Rao-Blackwellized Tempered SamplingPoster19 citations
268. Rich Component AnalysisPoster19 citations
269. The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMMPoster19 citations
270. Train and Test Tightness of LP Relaxations in Structured PredictionPoster19 citations
271. Controlling the distance to a Kemeny consensus without computing itPoster18 citations
272. Factored Temporal Sigmoid Belief Networks for Sequence LearningPoster18 citations
273. Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data StreamsPoster18 citations
274. Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and FriendsPoster18 citations
275. Sequence to Sequence Training of CTC-RNNs with Partial WindowingPoster18 citations
276. Actively Learning Hemimetrics with Applications to Eliciting User PreferencesPoster16 citations
277. Beyond CCA: Moment Matching for Multi-View ModelsPoster16 citations
278. Clustering High Dimensional Categorical Data via Topographical FeaturesPoster16 citations
279. Estimation from Indirect Supervision with Linear MomentsPoster16 citations
280. Optimal Classification with Multivariate LossesPoster16 citations
281. A Simple and Provable Algorithm for Sparse Diagonal CCAPoster15 citations
282. Non-negative Matrix Factorization under Heavy NoisePoster15 citations
283. PAC Lower Bounds and Efficient Algorithms for The Max K-Armed Bandit ProblemPoster15 citations
284. Pricing a Low-regret SellerPoster15 citations
285. A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif DiscoveryPoster14 citations
286. A ranking approach to global optimizationPoster14 citations
287. Computationally Efficient Nyström Approximation using Fast TransformsPoster14 citations
288. False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced RankingPoster13 citations
289. Epigraph projections for fast general convex programmingPoster12 citations
290. Metadata-conscious anonymous messagingPoster12 citations
291. Variable Elimination in the Fourier DomainPoster12 citations
292. Conditional Dependence via Shannon Capacity: Axioms, Estimators and ApplicationsPoster11 citations
293. Dealbreaker: A Nonlinear Latent Variable Model for Educational DataPoster11 citations
294. PAC learning of Probabilistic Automaton based on the Method of MomentsPoster11 citations
295. Black-box Optimization with a PoliticianPoster10 citations
296. Horizontally Scalable Submodular MaximizationPoster10 citations
297. Stochastic Discrete Clenshaw-Curtis QuadraturePoster10 citations
298. A Box-Constrained Approach for Hard Permutation ProblemsPoster9 citations
299. Beyond Parity Constraints: Fourier Analysis of Hash Functions for InferencePoster9 citations
300. Heteroscedastic Sequences: Beyond GaussianityPoster9 citations
301. Pliable Rejection SamplingPoster9 citations
302. Sparse Parameter Recovery from Aggregated DataPoster9 citations
303. Uprooting and Rerooting Graphical ModelsPoster9 citations
304. Barron and Cover’s Theory in Supervised Learning and its Application to LassoPoster8 citations
305. A Random Matrix Approach to Echo-State Neural NetworksPoster7 citations
306. Extended and Unscented Kitchen SinksPoster7 citations
307. k-variates++: more pluses in the k-means++Poster7 citations
308. Accurate Robust and Efficient Error Estimation for Decision TreesPoster6 citations
309. Early and Reliable Event Detection Using Proximity Space RepresentationPoster6 citations
310. Fast Rate Analysis of Some Stochastic Optimization AlgorithmsPoster5 citations
311. Matrix Eigen-decomposition via Doubly Stochastic Riemannian OptimizationPoster5 citations
312. On the Statistical Limits of Convex RelaxationsPoster5 citations
313. Meta–Gradient Boosted Decision Tree Model for Weight and Target LearningPoster4 citations
314. Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian DynamicsPoster4 citations
315. Slice Sampling on Hamiltonian TrajectoriesPoster4 citations
316. Differential Geometric Regularization for Supervised Learning of ClassifiersPoster3 citations
317. Markov Latent Feature ModelsPoster3 citations
318. Structure Learning of Partitioned Markov NetworksPoster2 citations
319. On collapsed representation of hierarchical Completely Random MeasuresPoster1 citations
320. A Convolutional Attention Network for Extreme Summarization of Source CodePoster
321. Analysis of Variational Bayesian Factorizations for Sparse and Low-Rank EstimationPoster
322. On the Power and Limits of Distance-Based LearningPoster

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