Papers
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces
Songbai Yan, Chicheng Zhang
Unbiased estimates for linear regression via volume sampling
Michal Derezinski, Manfred K. Warmuth
Off-policy evaluation for slate recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal et al.
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts
Raymond Yeh, Jinjun Xiong, Wen-Mei Hwu et al.
Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li et al.
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar et al.
A Meta-Learning Perspective on Cold-Start Recommendations for Items
Manasi Vartak, Arvind Thiagarajan, Conrado Miranda et al.
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah, Christopher Beckham, Tegan Maharaj et al.
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models
Adarsh Prasad, Alexandru Niculescu-Mizil, Pradeep K Ravikumar
Eigenvalue Decay Implies Polynomial-Time Learnability for Neural Networks
Surbhi Goel, Adam Klivans
Cost efficient gradient boosting
Sven Peter, Ferran Diego, Fred A. Hamprecht et al.
Action Centered Contextual Bandits
Kristjan Greenewald, Ambuj Tewari, Susan Murphy et al.
OnACID: Online Analysis of Calcium Imaging Data in Real Time
Andrea Giovannucci, Johannes Friedrich, Matt Kaufman et al.
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan et al.
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data
Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks
Kyuhong Shim, Minjae Lee, Iksoo Choi et al.
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
Stéphanie ALLASSONNIERE, Juliette Chevallier, Stephane Oudard
Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma
Zhuoran Yang, Krishnakumar Balasubramanian, Zhaoran Wang et al.
Model evidence from nonequilibrium simulations
Michael Habeck
Adversarial Symmetric Variational Autoencoder
Yuchen Pu, Weiyao Wang, Ricardo Henao et al.
Learning to See Physics via Visual De-animation
Jiajun Wu, Erika Lu, Pushmeet Kohli et al.
Deconvolutional Paragraph Representation Learning
Yizhe Zhang, Dinghan Shen, Guoyin Wang et al.
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
Liwei Wang, Alexander Schwing, Svetlana Lazebnik
Selective Classification for Deep Neural Networks
Yonatan Geifman, Ran El-Yaniv