NIPS2011気になった論文リスト
- NIPS2011のAccepted Papersが公開されました。（まだタイトルのみですが）
- いつもどおり、備忘録です。
- Active Learning, Crowd, Submodular, Manifoldといったキーワードが流行しているように見えます。
- まだタイトルを眺めただけですが、NIPSは良い論文が多いですね…。
A Collaborative Mechanism for Crowdsourcing Prediction Problems
- J. Abernethy, R. Frongillo
A Convergence Analysis of Log-Linear Training
- S. Wiesler, H. Ney
Active Classification based on Value of Classifier
- T. Gao, D. Koller
An Annealing Technique for Selecting Good Citizens on Manifolds
- N. Shroff, P. Turaga, R. Chellappa
- この論文タイトルをつけるセンスを見習いたい
A Non-Parametric Approach to Dynamic Programming
- O. Kroemer, J. Peters
Beating SGD: Learning SVMs in Sublinear Time
- E. Hazan, T. Koren, N. Srebro
- 必読。
Better Mini-Batch Algorithms via Accelerated Gradient Methods
- K. Sridharan, O. Shamir, A. Cotter, N. Srebro
Composite Multiclass Losses
- R. Williamson, E. Vernet, M. Reid
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
- M. Schmidt, N. Le Roux, F. Bach
Distributed Delayed Stochastic Optimization
- A. Agarwal, J. Duchi
Divide-and-Conquer Matrix Factorization
- L. Mackey, A. Talwalkar, M. Jordan
- 分散学習とかに適用できそうなタイトル…
Efficient Online Learning via Randomized Rounding
Fast and Accurate k-means For Large Datasets
- M. Shindler, A. Meyerson, A. Wong
- ICMLでいうNB枠…？
From Bandits to Experts: On the Value of Side-Observations
- S. Mannor, O. Shamir
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
- P. Loh, M. Wainwright
Improved Algorithms for Linear Stochastic Bandits
- Y. Abbasi-yadkori, D. Pal, C. Szepesvari
Large-Scale Sparse Principal Component Analysis with Application to Text Data
- Y. Zhang, L. Ghaoui
- 応用面では、これが気になる
Learning Anchor Planes for Classification
- Z. Zhang, L. Ladicky, A. Saffari, P. Torr
- 必読。
Learning large-margin halfspaces with more malicious noise
- P. Long, R. Servedio
Lower Bounds for Passive and Active Learning
- M. Raginsky, S. Rakhlin
- Passive Learning…？
Multiclass Boosting: Theory and Algorithms
- M. Saberian, N. Vasconcelos
Nearest Neighbor based Greedy Coordinate Descent
- A. Tewari, P. Ravikumar, I. Dhillon
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction
- E. Hazan, S. Kale
- Perceptron一族に新たな仲間
Online Learning: Stochastic, Constrained, and Smoothed Adversaries
- S. Rakhlin, K. Sridharan, A. Tewari
On the Universality of Online Mirror Descent
- K. Sridharan, N. Srebro, A. Tewari
Sparse Features for PCA-Like Linear Regression
- M. Magdon-Ismail, C. Boutsidis, P. Drineas
Trace Lasso: a trace norm regularization for correlated designs
- E. Grave, G. Obozinski, F. Bach
