【论文整理】ICML 2015 Papers

ICML 2015 Papers

ICML released an utterly useless unlinked list of papers accepted for the 2015 conference.

So I hacked up a scraper and got links to all the papers available on arxiv.

This list includes ~60% of all papers accepted.

Please do advise with any papers I may have missed due to title quirks, etc. I will likely update this to publicly available papers that are not on arxiv.

1. Approval Voting and Incentives in Crowdsourcing
2. [1406.3852] A low variance consistent test of relative … - arXiv
3. Spectral Clustering via the Power Method – Provably - arXiv
4. [1312.4564] Adaptive Stochastic Alternating Direction … - arXiv
5. A Lower Bound for the Optimization of Finite Sums
6. Learning Word Representations with Hierarchical Sparse …
7. Learning Transferable Features with Deep Adaptation …
8. How transferable are features in deep neural networks?
9. On the Relationship between Sum-Product Networks … - arXiv
10. [1505.00526] An Explicit Sampling Dependent Spectral …
11. A Stochastic PCA and SVD Algorithm with an Exponential …
12. Learning Local Invariant Mahalanobis Distances
13. [1501.03273] Classification with Low Rank and Missing Data
14. Telling cause from effect in deterministic linear dynamical …
15. High Dimensional Bayesian Optimisation and Bandits via …
16. [1504.03991] Theory of Dual-sparse Regularized … - arXiv
17. A General Analysis of the Convergence of ADMM
18. Stochastic Primal-Dual Coordinate Method for Regularized …
19. Spectral MLE: Top-$ K $ Rank Aggregation from Pairwise …
20. Exploring Algorithmic Limits of Matrix Rank Minimization …
21. Batch Normalization: Accelerating Deep Network Training …
22. Distributed Estimation of Generalized Matrix Rank: Efficient …
23. [1402.5876] Manifold Gaussian Processes for Regression
24. Online Regret Bounds for Undiscounted Continuous … - arXiv
25. The Fundamental Incompatibility of Hamiltonian Monte …
26. Faster Rates for the Frank-Wolfe Method over Strongly …
27. Online Tracking by Learning Discriminative Saliency Map …
28. A Statistical Perspective on Randomized Sketching for …
29. [1411.3224] On TD(0) with function approximation … - arXiv
30. Learning Parametric-Output HMMs with Two Aliased States
31. Latent Gaussian Processes for Distribution Estimation of …
32. Variational inference for sparse spectrum Gaussian process …
33. Stochastic Dual Coordinate Ascent with Adaptive Probabilities
34. JUMP-Means: Small-Variance Asymptotics for Markov Jump …
35. [1211.0358] Deep Gaussian Processes - arXiv
36. Fast Bilingual Distributed Representations without Word …
37. Cascading Bandits
38. Random Coordinate Descent Methods for Minimizing …
39. Counterfactual Risk Minimization: Learning from Logged …
40. A Linear Dynamical System Model for Text
41. Unsupervised Learning of Video Representations using …
42. MADE: Masked Autoencoder for Distribution Estimation
43. Large-scale Log-determinant Computation through …
44. Differentially Private Bayesian Optimization
45. Rademacher Observations, Private Data, and Boosting
46. Bayesian and empirical Bayesian forests
47. The Ladder: A Reliable Leaderboard for Machine Learning …
48. Enabling scalable stochastic gradient-based inference for …
49. Reified Context Models
50. Learning Fast-Mixing Models for Structured Prediction
51. [1406.6947] Deep Learning Multi-View Representation for …
52. [1406.7443] Efficient Learning in Large-Scale Combinatorial …
53. [1406.4311] Sparse Estimation with the Swept … - arXiv
54. Unsupervised Domain Adaptation by Backpropagation
55. Markov Chain Monte Carlo and Variational Inference …
56. The Power of Randomization: Distributed Submodular …
57. Non-Gaussian Discriminative Factor Models via the Max …
58. Nested Sequential Monte Carlo Methods
59. [1402.1389] Distributed Variational Inference in Sparse …
60. [1402.1412] Variational Inference in Sparse Gaussian …
61. Rebuilding Factorized Information Criterion: Asymptotically …
62. [1311.0776] The Composition Theorem for Differential Privacy
63. Strongly Adaptive Online Learning
64. [1411.0860] CUR Algorithm for Partially Observed Matrices
65. Scaling-up Empirical Risk Minimization: Optimization of …
66. Towards a Learning Theory of Causation
67. DRAW: A Recurrent Neural Network For Image Generation
68. Distributed Gaussian Processes
69. [1302.2684] A Tensor Approach to Learning Mixed … - arXiv
70. Consistent Estimation of Dynamic and Multi-layer Networks
71. [1405.3229] Rate of Convergence and Error Bounds for …
72. Convex Learning of Multiple Tasks and their Structure - arXiv
73. [1304.5610] Tight Performance Bounds for Approximate …
74. Approximate Modified Policy Iteration
75. Long Short-Term Memory Over Tree Structures
76. Predictive Entropy Search for Bayesian Optimization with …
77. Generative Moment Matching Networks
78. Deep Learning with Limited Numerical Precision
79. Teaching Deep Convolutional Neural Networks to Play Go
80. Kernel Interpolation for Scalable Structured Gaussian …
81. [1407.2538] Learning Deep Structured Models - arXiv
82. Personalized PageRank Solution Paths
83. Scalable Variational Inference in Log-supermodular Models
84. Variational Inference for Gaussian Process Modulated …
85. Probabilistic Backpropagation for Scalable Learning of …
86. Trust Region Policy Optimization
87. [1410.5518] On Symmetric and Asymmetric LSHs for Inner …
88. Adding vs. Averaging in Distributed Primal-Dual Optimization
89. Feature-Budgeted Random Forest
90. Show, Attend and Tell: Neural Image Caption Generation …
91. Learning to Search Better Than Your Teacher
92. Gated Feedback Recurrent Neural Networks
93. [1502.03671] Phrase-based Image Captioning - arXiv
94. Gradient-based Hyperparameter Optimization through …
95. [1406.1901] Subsampling Methods for Persistent Homology
96. Binary Embedding: Fundamental Limits and Fast Algorithm
97. Scalable Bayesian Optimization Using Deep Neural Networks
98. Scalable Nonparametric Bayesian Inference on Point …
99. Deep Unsupervised Learning using Nonequilibrium …
100. Compressing Neural Networks with the Hashing Trick - arXiv
101. Optimal and Adaptive Algorithms for Online Boosting
102. [1411.1134] Global Convergence of Stochastic Gradient …
103. [1504.06785] Complete Dictionary Recovery over the Sphere
104. PASSCoDe: Parallel ASynchronous Stochastic dual Co …
105. Optimizing Neural Networks with Kronecker-factored …
106. Novelty Detection Under Multi-Instance Multi-Label … - arXiv
107. [1212.4663] Concentration of Measure Inequalities in …
108. PU Learning for Matrix Completion
109. A Distributed Proximal Method for Composite Convex …
110. Posterior Sampling and Stochastic Gradient Monte Carlo
111. Inference for Partially Observed Multitype Branching …