nips2018.md

NeurIPS2018

• Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha. "Synthesized Policies for Transfer and Adaptation across Tasks and Environments" | [Home Page] | [PDF]

• Pedro Morgado, Nuno Nvasconcelos, Timothy Langlois, Oliver Wang. "Self-Supervised Generation of Spatial Audio for 360° Video" | [Home Page] | [PDF]

• Eitan Richardson, Yair Weiss. "On GANs and GMMs" | [Home Page] | [PDF]

• Hyeonseob Nam, Hyo-Eun Kim. "Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks" | [Home Page] | [PDF]

• Sungryull Sohn, Junhyuk Oh, Honglak Lee. "Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies" | [Home Page] | [PDF]

• Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi. "KDGAN: Knowledge Distillation with Generative Adversarial Networks" | [Home Page] | [PDF]

• Alexandre Marques, Remi Lam, Karen Willcox. "Contour location via entropy reduction leveraging multiple information sources" | [Home Page] | [PDF]

• Dylan J. Foster, Akshay Krishnamurthy. "Contextual bandits with surrogate losses: Margin bounds and efficient algorithms" | [Home Page] | [PDF]

• Wenbing Huang, Tong Zhang, Yu Rong, Junzhou Huang. "Adaptive Sampling Towards Fast Graph Representation Learning" | [Home Page] | [PDF]

• Tom Michoel. "Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net" | [Home Page] | [PDF]

• Eli Sherman, Ilya Shpitser. "Identification and Estimation of Causal Effects from Dependent Data" | [Home Page] | [PDF]

• Aditya Grover, Tudor Achim, Stefano Ermon. "Streamlining Variational Inference for Constraint Satisfaction Problems" | [Home Page] | [PDF]

• Shivam Garg, Vatsal Sharan, Brian Zhang, Gregory Valiant. "A Spectral View of Adversarially Robust Features" | [Home Page] | [PDF]

• Kry Lui, Gavin Weiguang Ding, Ruitong Huang, Robert McCann. "Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds" | [Home Page] | [PDF]

• Vikas Garg, Ofer Dekel, Lin Xiao. "Learning SMaLL Predictors" | [Home Page] | [PDF]

• Hongzhou Lin, Stefanie Jegelka. "ResNet with one-neuron hidden layers is a Universal Approximator" | [Home Page] | [PDF]

• Simon S. Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Russ R. Salakhutdinov, Aarti Singh. "How Many Samples are Needed to Estimate a Convolutional Neural Network?" | [Home Page] | [PDF]

• Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima. "Objective and efficient inference for couplings in neuronal networks" | [Home Page] | [PDF]

• Ayush Jaiswal, Rex Yue Wu, Wael Abd-Almageed, Prem Natarajan. "Unsupervised Adversarial Invariance" | [Home Page] | [PDF]

• Arnu Pretorius, Elan van Biljon, Steve Kroon, Herman Kamper. "Critical initialisation for deep signal propagation in noisy rectifier neural networks" | [Home Page] | [PDF]

• Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti, Gianluca Francini. "Learning sparse neural networks via sensitivity-driven regularization" | [Home Page] | [PDF]

• Harsh Shrivastava, Eugene Bart, Bob Price, Hanjun Dai, Bo Dai, Srinivas Aluru. "Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification" | [Home Page] | [PDF]

• Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong, Binz Roy, MK Ryu, Greg Imwalle. "Data center cooling using model-predictive control" | [Home Page] | [PDF]

• Vitaly Feldman, Jan Vondrak. "Generalization Bounds for Uniformly Stable Algorithms" | [Home Page] | [PDF]

• Lie He, An Bian, Martin Jaggi. "COLA: Decentralized Linear Learning" | [Home Page] | [PDF]

• Pierre-Alexandre Mattei, Jes Frellsen. "Leveraging the Exact Likelihood of Deep Latent Variable Models" | [Home Page] | [PDF]

• Joseph Marino, Milan Cvitkovic, Yisong Yue. "A General Method for Amortizing Variational Filtering" | [Home Page] | [PDF]

• Sagie Benaim, Lior Wolf. "One-Shot Unsupervised Cross Domain Translation" | [Home Page] | [PDF]

• I Chien, Chao Pan, Olgica Milenkovic. "Query K-means Clustering and the Double Dixie Cup Problem" | [Home Page] | [PDF]

• Zhiwei Deng, Jiacheng Chen, YIFANG FU, Greg Mori. "Probabilistic Neural Programmed Networks for Scene Generation" | [Home Page] | [PDF]

• Aryan Mokhtari, Asuman Ozdaglar, Ali Jadbabaie. "Escaping Saddle Points in Constrained Optimization" | [Home Page] | [PDF]

• Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin. "Adversarial Text Generation via Feature-Mover's Distance" | [Home Page] | [PDF]

• Michael Arbel, Danica J. Sutherland, Mikołaj Bińkowski, Arthur Gretton. "On gradient regularizers for MMD GANs" | [Home Page] | [PDF]

• Garrett Bernstein, Daniel R. Sheldon. "Differentially Private Bayesian Inference for Exponential Families" | [Home Page] | [PDF]

• Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu. "Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity" | [Home Page] | [PDF]

• Sang-Woo Lee, Yu-Jung Heo, Byoung-Tak Zhang. "Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog" | [Home Page] | [PDF]

• Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart J. Russell, Pieter Abbeel. "Learning Plannable Representations with Causal InfoGAN" | [Home Page] | [PDF]

• Christopher Tosh, Sanjoy Dasgupta. "Interactive Structure Learning with Structural Query-by-Committee" | [Home Page] | [PDF]

• Volker Fischer, Jan Koehler, Thomas Pfeil. "The streaming rollout of deep networks - towards fully model-parallel execution" | [Home Page] | [PDF]

• Yash Deshpande, Subhabrata Sen, Andrea Montanari, Elchanan Mossel. "Contextual Stochastic Block Models" | [Home Page] | [PDF]

• Daan Wynen, Cordelia Schmid, Julien Mairal. "Unsupervised Learning of Artistic Styles with Archetypal Style Analysis" | [Home Page] | [PDF]

• Robert Geirhos, Carlos R. M. Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann. "Generalisation in humans and deep neural networks" | [Home Page] | [PDF]

• Patrick McClure, Charles Y. Zheng, Jakub Kaczmarzyk, John Rogers-Lee, Satra Ghosh, Dylan Nielson, Peter A. Bandettini, Francisco Pereira. "Distributed Weight Consolidation: A Brain Segmentation Case Study" | [Home Page] | [PDF]

• Huaibo Huang, zhihang li, Ran He, Zhenan Sun, Tieniu Tan. "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis" | [Home Page] | [PDF]

• Ian En-Hsu Yen, Wei-Cheng Lee, Kai Zhong, Sung-En Chang, Pradeep K. Ravikumar, Shou-De Lin. "MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization" | [Home Page] | [PDF]

• Madhav Nimishakavi, Pratik Kumar Jawanpuria, Bamdev Mishra. "A Dual Framework for Low-rank Tensor Completion" | [Home Page] | [PDF]

• David Madras, Toni Pitassi, Richard Zemel. "Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer" | [Home Page] | [PDF]

• Isabel Valera, Adish Singla, Manuel Gomez Rodriguez. "Enhancing the Accuracy and Fairness of Human Decision Making" | [Home Page] | [PDF]

• Soeren Laue, Matthias Mitterreiter, Joachim Giesen. "Computing Higher Order Derivatives of Matrix and Tensor Expressions" | [Home Page] | [PDF]

• Pierre Gaillard, Olivier Wintenberger. "Efficient online algorithms for fast-rate regret bounds under sparsity" | [Home Page] | [PDF]

• Isaac Lage, Andrew Ross, Samuel J. Gershman, Been Kim, Finale Doshi-Velez. "Human-in-the-Loop Interpretability Prior" | [Home Page] | [PDF]

• Wenqi Ren, Jiawei Zhang, Lin Ma, Jinshan Pan, Xiaochun Cao, Wangmeng Zuo, Wei Liu, Ming-Hsuan Yang. "Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation" | [Home Page] | [PDF]

• Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu. "Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator" | [Home Page] | [PDF]

• Kwangjun Ahn, Kangwook Lee, Hyunseung Cha, Changho Suh. "Binary Rating Estimation with Graph Side Information" | [Home Page] | [PDF]

• Diana Cai, Michael Mitzenmacher, Ryan P. Adams. "A Bayesian Nonparametric View on Count-Min Sketch" | [Home Page] | [PDF]

• Josip Djolonga, Stefanie Jegelka, Andreas Krause. "Provable Variational Inference for Constrained Log-Submodular Models" | [Home Page] | [PDF]

• Shikib Mehri, Leonid Sigal. "Middle-Out Decoding" | [Home Page] | [PDF]

• Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik. "Maximum-Entropy Fine Grained Classification" | [Home Page] | [PDF]

• Florian Schmidt, Thomas Hofmann. "Deep State Space Models for Unconditional Word Generation" | [Home Page] | [PDF]

• Paavo Parmas. "Total stochastic gradient algorithms and applications in reinforcement learning" | [Home Page] | [PDF]

• Andrew Trask, Felix Hill, Scott E. Reed, Jack Rae, Chris Dyer, Phil Blunsom. "Neural Arithmetic Logic Units" | [Home Page] | [PDF]

• Suriya Gunasekar, Jason D. Lee, Daniel Soudry, Nati Srebro. "Implicit Bias of Gradient Descent on Linear Convolutional Networks" | [Home Page] | [PDF]

• Hamid JALALZAI, Stephan Clémençon, Anne Sabourin. "On Binary Classification in Extreme Regions" | [Home Page] | [PDF]

• Alexander Neitz, Giambattista Parascandolo, Stefan Bauer, Bernhard Schölkopf. "Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models" | [Home Page] | [PDF]

• Jonghwan Mun, Kimin Lee, Jinwoo Shin, Bohyung Han. "Learning to Specialize with Knowledge Distillation for Visual Question Answering" | [Home Page] | [PDF]

• Michael Mitzenmacher. "A Model for Learned Bloom Filters and Optimizing by Sandwiching" | [Home Page] | [PDF]

• Jonathan Huggins, Lester Mackey. "Random Feature Stein Discrepancies" | [Home Page] | [PDF]

• Quan Zhang, Mingyuan Zhou. "Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks" | [Home Page] | [PDF]

• Zhewei Yao, Amir Gholami, Qi Lei, Kurt Keutzer, Michael W. Mahoney. "Hessian-based Analysis of Large Batch Training and Robustness to Adversaries" | [Home Page] | [PDF]

• Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou. "Adaptive Online Learning in Dynamic Environments" | [Home Page] | [PDF]

• Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye. "Learning in Games with Lossy Feedback" | [Home Page] | [PDF]

• Loucas Pillaud-Vivien, Alessandro Rudi, Francis Bach. "Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes" | [Home Page] | [PDF]

• Mike Wu, Noah Goodman. "Multimodal Generative Models for Scalable Weakly-Supervised Learning" | [Home Page] | [PDF]

• Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang. "Multi-Class Learning: From Theory to Algorithm" | [Home Page] | [PDF]

• Siddarth Srinivasan, Carlton Downey, Byron Boots. "Learning and Inference in Hilbert Space with Quantum Graphical Models" | [Home Page] | [PDF]

• Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov, Guy Koren, Gal Novik. "Bayesian Structure Learning by Recursive Bootstrap" | [Home Page] | [PDF]

• Kishan Wimalawarne, Hiroshi Mamitsuka. "Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms" | [Home Page] | [PDF]

• Qiang Liu, Dilin Wang. "Stein Variational Gradient Descent as Moment Matching" | [Home Page] | [PDF]

• Maria-Florina F. Balcan, Travis Dick, Colin White. "Data-Driven Clustering via Parameterized Lloyd's Families" | [Home Page] | [PDF]

• Haitian Sun, William W. Cohen, Lidong Bing. "Semi-Supervised Learning with Declaratively Specified Entropy Constraints" | [Home Page] | [PDF]

• Ankit Shah, Pritish Kamath, Julie A. Shah, Shen Li. "Bayesian Inference of Temporal Task Specifications from Demonstrations" | [Home Page] | [PDF]

• Dongruo Zhou, Pan Xu, Quanquan Gu. "Stochastic Nested Variance Reduction for Nonconvex Optimization" | [Home Page] | [PDF]

• Tao Sun, Yuejiao Sun, Wotao Yin. "On Markov Chain Gradient Descent" | [Home Page] | [PDF]

• Constantinos Daskalakis, Ioannis Panageas. "The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization" | [Home Page] | [PDF]

• Di Wang, Marco Gaboardi, Jinhui Xu. "Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited" | [Home Page] | [PDF]

• Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian. "Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN" | [Home Page] | [PDF]

• Boris Hanin. "Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients?" | [Home Page] | [PDF]

• Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun. "Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization" | [Home Page] | [PDF]

• Sham M. Kakade, Jason D. Lee. "Provably Correct Automatic Sub-Differentiation for Qualified Programs" | [Home Page] | [PDF]

• Liudmila Prokhorenkova, Gleb Gusev, Aleksandr Vorobev, Anna Veronika Dorogush, Andrey Gulin. "CatBoost: unbiased boosting with categorical features" | [Home Page] | [PDF]

• Tengfei Ma, Jie Chen, Cao Xiao. "Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders" | [Home Page] | [PDF]

• Oisín Moran, Piergiorgio Caramazza, Daniele Faccio, Roderick Murray-Smith. "Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres" | [Home Page] | [PDF]

• Valerio Perrone, Rodolphe Jenatton, Matthias W. Seeger, Cedric Archambeau. "Scalable Hyperparameter Transfer Learning" | [Home Page] | [PDF]

• Soroosh Shafieezadeh Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Mohajerin Esfahani. "Wasserstein Distributionally Robust Kalman Filtering" | [Home Page] | [PDF]

• Cong Fang, Chris Junchi Li, Zhouchen Lin, Tong Zhang. "SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator" | [Home Page] | [PDF]

• Shichen Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan. "Generalized Zero-Shot Learning with Deep Calibration Network" | [Home Page] | [PDF]

• Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Bagnell. "Dual Policy Iteration" | [Home Page] | [PDF]

• Yi Tay, Anh Tuan Luu, Siu Cheung Hui. "Recurrently Controlled Recurrent Networks" | [Home Page] | [PDF]

• Xenia Miscouridou, Francois Caron, Yee Whye Teh. "Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data" | [Home Page] | [PDF]

• Pavel Dvurechenskii, Darina Dvinskikh, Alexander Gasnikov, Cesar Uribe, Angelia Nedich. "Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters" | [Home Page] | [PDF]

• Pablo Moreno-Muñoz, Antonio Artés, Mauricio Álvarez. "Heterogeneous Multi-output Gaussian Process Prediction" | [Home Page] | [PDF]

• Bharat Singh, Mahyar Najibi, Larry S. Davis. "SNIPER: Efficient Multi-Scale Training" | [Home Page] | [PDF]

• Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin. "Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis" | [Home Page] | [PDF]

• Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogerio Feris, Raja Giryes, Alex Bronstein. "Delta-encoder: an effective sample synthesis method for few-shot object recognition" | [Home Page] | [PDF]

• Peng Jiang, Gagan Agrawal. "A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication" | [Home Page] | [PDF]

• Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu. "Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs" | [Home Page] | [PDF]

• Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song. "Learning towards Minimum Hyperspherical Energy" | [Home Page] | [PDF]

• Anqi Wu, Stan Pashkovski, Sandeep R. Datta, Jonathan W. Pillow. "Learning a latent manifold of odor representations from neural responses in piriform cortex" | [Home Page] | [PDF]

• Qilong Wang, Zilin Gao, Jiangtao Xie, Wangmeng Zuo, Peihua Li. "Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks" | [Home Page] | [PDF]

• Tal Ben-Nun, Alice Shoshana Jakobovits, Torsten Hoefler. "Neural Code Comprehension: A Learnable Representation of Code Semantics" | [Home Page] | [PDF]

• Tin D. Nguyen, Samory Kpotufe. "PAC-Bayes Tree: weighted subtrees with guarantees" | [Home Page] | [PDF]

• Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon. "Amortized Inference Regularization" | [Home Page] | [PDF]

• Jianlong Chang, Jie Gu, Lingfeng Wang, GAOFENG MENG, SHIMING XIANG, Chunhong Pan. "Structure-Aware Convolutional Neural Networks" | [Home Page] | [PDF]

• Miguel A. Carreira-Perpinan, Pooya Tavallali. "Alternating optimization of decision trees, with application to learning sparse oblique trees" | [Home Page] | [PDF]

• Dongsung Huh, Terrence J. Sejnowski. "Gradient Descent for Spiking Neural Networks" | [Home Page] | [PDF]

• Daniele Calandriello, Lorenzo Rosasco. "Statistical and Computational Trade-Offs in Kernel K-Means" | [Home Page] | [PDF]

• Jeffrey Pennington, Pratik Worah. "The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network" | [Home Page] | [PDF]

• Grant Rotskoff, Eric Vanden-Eijnden. "Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks" | [Home Page] | [PDF]

• Ikko Yamane, Florian Yger, Jamal Atif, Masashi Sugiyama. "Uplift Modeling from Separate Labels" | [Home Page] | [PDF]

• Risheng Liu, Shichao Cheng, xiaokun liu, Long Ma, Xin Fan, Zhongxuan Luo. "A Bridging Framework for Model Optimization and Deep Propagation" | [Home Page] | [PDF]

• Haidar Khan, Bulent Yener. "Learning filter widths of spectral decompositions with wavelets" | [Home Page] | [PDF]

• Abubakar Abid, James Y. Zou. "Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders" | [Home Page] | [PDF]

• Kush Bhatia, Aldo Pacchiano, Nicolas Flammarion, Peter L. Bartlett, Michael I. Jordan. "Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation" | [Home Page] | [PDF]

• Joshua Fromm, Shwetak Patel, Matthai Philipose. "Heterogeneous Bitwidth Binarization in Convolutional Neural Networks" | [Home Page] | [PDF]

• Iryna Korshunova, Jonas Degrave, Ferenc Huszar, Yarin Gal, Arthur Gretton, Joni Dambre. "BRUNO: A Deep Recurrent Model for Exchangeable Data" | [Home Page] | [PDF]

• François Portier, Bernard Delyon. "Asymptotic optimality of adaptive importance sampling" | [Home Page] | [PDF]

• Paul Hand, Oscar Leong, Vlad Voroninski. "Phase Retrieval Under a Generative Prior" | [Home Page] | [PDF]

• Francesco Paolo Casale, Adrian Dalca, Luca Saglietti, Jennifer Listgarten, Nicolo Fusi. "Gaussian Process Prior Variational Autoencoders" | [Home Page] | [PDF]

• Kuan Han, Haiguang Wen, Yizhen Zhang, Di Fu, Eugenio Culurciello, Zhongming Liu. "Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition" | [Home Page] | [PDF]

• Zelda E. Mariet, Suvrit Sra, Stefanie Jegelka. "Exponentiated Strongly Rayleigh Distributions" | [Home Page] | [PDF]

• Dilin Wang, Hao Liu, Qiang Liu. "Variational Inference with Tail-adaptive f-Divergence" | [Home Page] | [PDF]

• James Thewlis, Hakan Bilen, Andrea Vedaldi. "Modelling and unsupervised learning of symmetric deformable object categories" | [Home Page] | [PDF]

• Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese. "Generalizing to Unseen Domains via Adversarial Data Augmentation" | [Home Page] | [PDF]

• Chuyang Ke, Jean Honorio. "Information-theoretic Limits for Community Detection in Network Models" | [Home Page] | [PDF]

• João Sacramento, Rui Ponte Costa, Yoshua Bengio, Walter Senn. "Dendritic cortical microcircuits approximate the backpropagation algorithm" | [Home Page] | [PDF]

• Yuqian Zhang, Han-wen Kuo, John Wright. "Structured Local Minima in Sparse Blind Deconvolution" | [Home Page] | [PDF]

• Xiaohan Wei, Hao Yu, Qing Ling, Michael Neely. "Solving Non-smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach" | [Home Page] | [PDF]

• Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James Glass. "Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces" | [Home Page] | [PDF]

• Ricky T. Q. Chen, Xuechen Li, Roger B. Grosse, David K. Duvenaud. "Isolating Sources of Disentanglement in Variational Autoencoders" | [Home Page] | [PDF]

• DJ Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matt Botvinick, David J. Schwab. "Learning to Share and Hide Intentions using Information Regularization" | [Home Page] | [PDF]

• Irene Chen, Fredrik D. Johansson, David Sontag. "Why Is My Classifier Discriminatory?" | [Home Page] | [PDF]

• Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi. "Unsupervised Learning of Object Landmarks through Conditional Image Generation" | [Home Page] | [PDF]

• Maria Dimakopoulou, Ian Osband, Benjamin Van Roy. "Scalable Coordinated Exploration in Concurrent Reinforcement Learning" | [Home Page] | [PDF]

• Yin Cheng Ng, Nicolò Colombo, Ricardo Silva. "Bayesian Semi-supervised Learning with Graph Gaussian Processes" | [Home Page] | [PDF]

• Dustin Tran, Matthew W. Hoffman, Dave Moore, Christopher Suter, Srinivas Vasudevan, Alexey Radul. "Simple, Distributed, and Accelerated Probabilistic Programming" | [Home Page] | [PDF]

• Cheng Tang, Damien Garreau, Ulrike von Luxburg. "When do random forests fail?" | [Home Page] | [PDF]

• Lixing Chen, Jie Xu, Zhuo Lu. "Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward" | [Home Page] | [PDF]

• Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Josh Tenenbaum, Bill Freeman, Jiajun Wu. "Learning to Reconstruct Shapes from Unseen Classes" | [Home Page] | [PDF]

• Daniel Pimentel-Alarcon. "Mixture Matrix Completion" | [Home Page] | [PDF]

• Romain WARLOP, Alessandro Lazaric, Jérémie Mary. "Fighting Boredom in Recommender Systems with Linear Reinforcement Learning" | [Home Page] | [PDF]

• Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin. "Diffusion Maps for Textual Network Embedding" | [Home Page] | [PDF]

• Gabi Shalev, Yossi Adi, Joseph Keshet. "Out-of-Distribution Detection using Multiple Semantic Label Representations" | [Home Page] | [PDF]

• Yi Xu, Rong Jin, Tianbao Yang. "First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time" | [Home Page] | [PDF]

• Naman Agarwal, Ananda Theertha Suresh, Felix Xinnan X. Yu, Sanjiv Kumar, Brendan McMahan. "cpSGD: Communication-efficient and differentially-private distributed SGD" | [Home Page] | [PDF]

• Julian Zimmert, Yevgeny Seldin. "Factored Bandits" | [Home Page] | [PDF]

• Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein. "Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks" | [Home Page] | [PDF]

• Onur Teymur, Han Cheng Lie, Tim Sullivan, Ben Calderhead. "Implicit Probabilistic Integrators for ODEs" | [Home Page] | [PDF]

• Stanislav Morozov, Artem Babenko. "Non-metric Similarity Graphs for Maximum Inner Product Search" | [Home Page] | [PDF]

• Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch. "Learning convex polytopes with margin" | [Home Page] | [PDF]

• Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin. "Distilled Wasserstein Learning for Word Embedding and Topic Modeling" | [Home Page] | [PDF]

• Rico Angell, Daniel R. Sheldon. "Inferring Latent Velocities from Weather Radar Data using Gaussian Processes" | [Home Page] | [PDF]

• Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, Bill Dolan. "Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization" | [Home Page] | [PDF]

• Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon. "Multi-Agent Generative Adversarial Imitation Learning" | [Home Page] | [PDF]

• Supasorn Suwajanakorn, Noah Snavely, Jonathan J. Tompson, Mohammad Norouzi. "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning" | [Home Page] | [PDF]

• Ho Chung Law, Dino Sejdinovic, Ewan Cameron, Tim Lucas, Seth Flaxman, Katherine Battle, Kenji Fukumizu. "Variational Learning on Aggregate Outputs with Gaussian Processes" | [Home Page] | [PDF]

• Tobias Sommer Thune, Yevgeny Seldin. "Adaptation to Easy Data in Prediction with Limited Advice" | [Home Page] | [PDF]

• Kyungjae Lee, Sungjoon Choi, Songhwai Oh. "Maximum Causal Tsallis Entropy Imitation Learning" | [Home Page] | [PDF]

• Justin Domke, Daniel R. Sheldon. "Importance Weighting and Variational Inference" | [Home Page] | [PDF]

• Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson. "Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction" | [Home Page] | [PDF]

• Ohad Shamir. "Are ResNets Provably Better than Linear Predictors?" | [Home Page] | [PDF]

• Zhongwen Xu, Hado P. van Hasselt, David Silver. "Meta-Gradient Reinforcement Learning" | [Home Page] | [PDF]

• Jacob Gardner, Geoff Pleiss, Kilian Q. Weinberger, David Bindel, Andrew G. Wilson. "GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration" | [Home Page] | [PDF]

• Brandon Tran, Jerry Li, Aleksander Madry. "Spectral Signatures in Backdoor Attacks" | [Home Page] | [PDF]

• Jay Heo, Hae Beom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang. "Uncertainty-Aware Attention for Reliable Interpretation and Prediction" | [Home Page] | [PDF]

• Liang Zhang, Guangming Zhu, Lin Mei, Peiyi Shen, Syed Afaq Ali Shah, Mohammed Bennamoun. "Attention in Convolutional LSTM for Gesture Recognition" | [Home Page] | [PDF]

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