Timezone: »
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Q&A on RocketChat immediately following Lightning Talks
Author Information
Yichuan Mo (Peking University)
Botao Yu (Nanjing University)
Master student at Nanjing University. My research interest is deep learning in NLP, music, and other domains, trying to advance the AI technology in various applications. I am looking for a PhD opportunity around the world.
Gang Li (Nanjing University of Science and Technology)
Zezhong Xu (Zhejiang University)
Haoran Wei (University of Chinese Academy of Sciences)
Arsene Fansi Tchango (Mila - Institut Québécois en Intelligence Artificielle)
Raef Bassily (The Ohio State University)
Haoyu Lu (Renmin University of China)
Qi Zhang (Peking University)
Songming Liu
Mingyu Ding (The University of Hong Kong)
Peiling Lu (Microsoft)
Yifei Wang (Peking University)
Xiang Li (Nankai University)
Dongxian Wu (University of Tokyo)
Ping Guo (Intel)
Wen Zhang (Zhejiang University)
Hao Zhongkai (USTC)
Mehryar Mohri (Google Research & Courant Institute of Mathematical Sciences)
Rishab Goel (Borealis AI)
Yisen Wang (Peking University)
Yifei Wang (Peking University)
Yangguang Zhu (University of Chinese Academy of Sciences)
Zhi Wen (Mila)
Applied research scientist at Mila
Ananda Theertha Suresh (Google)
Chengyang Ying (Tsinghua University, Tsinghua University)
Yujie Wang (Sensetime Research)
Peng Ye (Zhejiang University)
Rui Wang (Microsoft Research Asia)
Nanyi Fei (Renmin University of China)
Hui Chen (Zhejiang University)
Yiwen Guo (ByteDance AI Lab)
Wei Hu (Nanjing University)
Chenglong Liu (University of Chinese Academy of Sciences)
Julien Martel (Université de Montréal)
Yuqi Huo (Renmin University of China)
Wu Yichao (SenseTime)
Hang Su (Tsinghua Univiersity)
Yisen Wang (Peking University)
Peng Wang (Intel)
Huajun Chen (College of Computer Science)
Xu Tan (Microsoft Research)
Jun Zhu (Tsinghua University)
Ding Liang (Tsinghua University, Tsinghua University)
Zhiwu Lu (Renmin University of China)
Joumana Ghosn (Mila)
Shanshan Zhang (Nanjing University of Science and Technology)
Wei Ye (Peking University)
Dr. Wei Ye is now an associate professor at National Engineering Research Center for Software Engineering, Peking University. In 2011, he obtained a doctorate degree from the School of Electronics Engineering and Computer Science, Peking University, working with Prof. Shikun Zhang. Wei Ye has a broad interest in real-world problems related to programming languages, natural languages, and knowledge graphs. More specifically, he is now conducting research into information extraction, natural language generation, and deep-learning-based program analysis.
Ze Cheng (University of Colorado, Boulder)
Shikun Zhang (Peking University)
Tao Qin (Microsoft Research)
Tie-Yan Liu (Microsoft Research)
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2021 Poster: Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning »
Christoph Dann · Teodor Vanislavov Marinov · Mehryar Mohri · Julian Zimmert -
2021 Poster: On the Generative Utility of Cyclic Conditionals »
Chang Liu · Haoyue Tang · Tao Qin · Jintao Wang · Tie-Yan Liu -
2021 Poster: Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language »
Mingyu Ding · Zhenfang Chen · Tao Du · Ping Luo · Josh Tenenbaum · Chuang Gan -
2021 Poster: Dissecting the Diffusion Process in Linear Graph Convolutional Networks »
Yifei Wang · Yisen Wang · Jiansheng Yang · Zhouchen Lin -
2021 Poster: Stability and Generalization of Bilevel Programming in Hyperparameter Optimization »
Fan Bao · Guoqiang Wu · Chongxuan LI · Jun Zhu · Bo Zhang -
2021 Poster: Learning with User-Level Privacy »
Daniel Levy · Ziteng Sun · Kareem Amin · Satyen Kale · Alex Kulesza · Mehryar Mohri · Ananda Theertha Suresh -
2021 Poster: Curriculum Offline Imitating Learning »
Minghuan Liu · Hanye Zhao · Zhengyu Yang · Jian Shen · Weinan Zhang · Li Zhao · Tie-Yan Liu -
2021 Poster: Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings »
Raef Bassily · Cristóbal Guzmán · Michael Menart -
2021 Poster: Adversarial Neuron Pruning Purifies Backdoored Deep Models »
Dongxian Wu · Yisen Wang -
2021 Poster: Boosting with Multiple Sources »
Corinna Cortes · Mehryar Mohri · Dmitry Storcheus · Ananda Theertha Suresh -
2021 Poster: Speech-T: Transducer for Text to Speech and Beyond »
Jiawei Chen · Xu Tan · Yichong Leng · Jin Xu · Guihua Wen · Tao Qin · Tie-Yan Liu -
2021 Poster: Breaking the centralized barrier for cross-device federated learning »
Sai Praneeth Karimireddy · Martin Jaggi · Satyen Kale · Mehryar Mohri · Sashank Reddi · Sebastian Stich · Ananda Theertha Suresh -
2021 Poster: Stylized Dialogue Generation with Multi-Pass Dual Learning »
Jinpeng Li · Yingce Xia · Rui Yan · Hongda Sun · Dongyan Zhao · Tie-Yan Liu -
2021 Poster: On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms »
Shuyu Cheng · Guoqiang Wu · Jun Zhu -
2021 Poster: Distributional Reinforcement Learning for Multi-Dimensional Reward Functions »
Pushi Zhang · Xiaoyu Chen · Li Zhao · Wei Xiong · Tao Qin · Tie-Yan Liu -
2021 Poster: Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD »
Bohan Wang · Huishuai Zhang · Jieyu Zhang · Qi Meng · Wei Chen · Tie-Yan Liu -
2021 Poster: Co-evolution Transformer for Protein Contact Prediction »
He Zhang · Fusong Ju · Jianwei Zhu · Liang He · Bin Shao · Nanning Zheng · Tie-Yan Liu -
2021 Poster: Scalable Quasi-Bayesian Inference for Instrumental Variable Regression »
Ziyu Wang · Yuhao Zhou · Tongzheng Ren · Jun Zhu -
2021 Poster: Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations »
Ayush Sekhari · Christoph Dann · Mehryar Mohri · Yishay Mansour · Karthik Sridharan -
2021 Poster: Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding »
Shengjie Luo · Shanda Li · Tianle Cai · Di He · Dinglan Peng · Shuxin Zheng · Guolin Ke · Liwei Wang · Tie-Yan Liu -
2021 Poster: Learning Causal Semantic Representation for Out-of-Distribution Prediction »
Chang Liu · Xinwei Sun · Jindong Wang · Haoyue Tang · Tao Li · Tao Qin · Wei Chen · Tie-Yan Liu -
2021 Poster: Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization »
Guoqiang Wu · Chongxuan LI · Kun Xu · Jun Zhu -
2021 Poster: Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning »
Jongjin Park · Younggyo Seo · Chang Liu · Li Zhao · Tao Qin · Jinwoo Shin · Tie-Yan Liu -
2021 Poster: FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition »
Yichong Leng · Xu Tan · Linchen Zhu · Jin Xu · Renqian Luo · Linquan Liu · Tao Qin · Xiangyang Li · Edward Lin · Tie-Yan Liu -
2021 Poster: AFEC: Active Forgetting of Negative Transfer in Continual Learning »
Liyuan Wang · Mingtian Zhang · Zhongfan Jia · Qian Li · Chenglong Bao · Kaisheng Ma · Jun Zhu · Yi Zhong -
2021 Poster: Remember What You Want to Forget: Algorithms for Machine Unlearning »
Ayush Sekhari · Jayadev Acharya · Gautam Kamath · Ananda Theertha Suresh -
2021 Poster: Accumulative Poisoning Attacks on Real-time Data »
Tianyu Pang · Xiao Yang · Yinpeng Dong · Hang Su · Jun Zhu -
2021 Poster: Do Transformers Really Perform Badly for Graph Representation? »
Chengxuan Ying · Tianle Cai · Shengjie Luo · Shuxin Zheng · Guolin Ke · Di He · Yanming Shen · Tie-Yan Liu -
2021 Poster: Compressed Video Contrastive Learning »
Yuqi Huo · Mingyu Ding · Haoyu Lu · Nanyi Fei · Zhiwu Lu · Ji-Rong Wen · Ping Luo -
2021 Poster: Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems »
Zixiu Wang · Yiwen Guo · Hu Ding -
2021 Poster: R-Drop: Regularized Dropout for Neural Networks »
xiaobo liang · Lijun Wu · Juntao Li · Yue Wang · Qi Meng · Tao Qin · Wei Chen · Min Zhang · Tie-Yan Liu -
2021 Poster: Residual Relaxation for Multi-view Representation Learning »
Yifei Wang · Zhengyang Geng · Feng Jiang · Chuming Li · Yisen Wang · Jiansheng Yang · Zhouchen Lin -
2021 Poster: Recovering Latent Causal Factor for Generalization to Distributional Shifts »
Xinwei Sun · Botong Wu · Xiangyu Zheng · Chang Liu · Wei Chen · Tao Qin · Tie-Yan Liu -
2021 Poster: Calibration and Consistency of Adversarial Surrogate Losses »
Pranjal Awasthi · Natalie Frank · Anqi Mao · Mehryar Mohri · Yutao Zhong -
2020 Poster: Multi-label classification: do Hamming loss and subset accuracy really conflict with each other? »
Guoqiang Wu · Jun Zhu -
2020 Poster: Semi-Supervised Neural Architecture Search »
Renqian Luo · Xu Tan · Rui Wang · Tao Qin · Enhong Chen · Tie-Yan Liu -
2020 Poster: Bi-level Score Matching for Learning Energy-based Latent Variable Models »
Fan Bao · Chongxuan LI · Kun Xu · Hang Su · Jun Zhu · Bo Zhang -
2020 Poster: Further Analysis of Outlier Detection with Deep Generative Models »
Ziyu Wang · Bin Dai · David P Wipf · Jun Zhu -
2020 Poster: Efficient Learning of Generative Models via Finite-Difference Score Matching »
Tianyu Pang · Kun Xu · Chongxuan LI · Yang Song · Stefano Ermon · Jun Zhu -
2020 Poster: Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses »
Raef Bassily · Vitaly Feldman · Cristóbal Guzmán · Kunal Talwar -
2020 Poster: Adapting to Misspecification in Contextual Bandits »
Dylan Foster · Claudio Gentile · Mehryar Mohri · Julian Zimmert -
2020 Spotlight: Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses »
Raef Bassily · Vitaly Feldman · Cristóbal Guzmán · Kunal Talwar -
2020 Poster: Calibrated Reliable Regression using Maximum Mean Discrepancy »
Peng Cui · Wenbo Hu · Jun Zhu -
2020 Poster: Boosting Adversarial Training with Hypersphere Embedding »
Tianyu Pang · Xiao Yang · Yinpeng Dong · Kun Xu · Jun Zhu · Hang Su -
2020 Poster: Agnostic Learning with Multiple Objectives »
Corinna Cortes · Mehryar Mohri · Javier Gonzalvo · Dmitry Storcheus -
2020 Poster: Backpropagating Linearly Improves Transferability of Adversarial Examples »
Yiwen Guo · Qizhang Li · Hao Chen -
2020 Poster: Adversarial Weight Perturbation Helps Robust Generalization »
Dongxian Wu · Shu-Tao Xia · Yisen Wang -
2020 Poster: Adversarial Distributional Training for Robust Deep Learning »
Yinpeng Dong · Zhijie Deng · Tianyu Pang · Jun Zhu · Hang Su -
2020 Poster: Practical No-box Adversarial Attacks against DNNs »
Qizhang Li · Yiwen Guo · Hao Chen -
2020 Poster: RD$^2$: Reward Decomposition with Representation Decomposition »
Zichuan Lin · Derek Yang · Li Zhao · Tao Qin · Guangwen Yang · Tie-Yan Liu -
2020 Poster: Reinforcement Learning with Feedback Graphs »
Christoph Dann · Yishay Mansour · Mehryar Mohri · Ayush Sekhari · Karthik Sridharan -
2020 Poster: Learning from Mixtures of Private and Public Populations »
Raef Bassily · Shay Moran · Anupama Nandi -
2020 Poster: PAC-Bayes Learning Bounds for Sample-Dependent Priors »
Pranjal Awasthi · Satyen Kale · Stefani Karp · Mehryar Mohri -
2020 Poster: Learning discrete distributions: user vs item-level privacy »
Yuhan Liu · Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Michael D Riley -
2020 Poster: MPNet: Masked and Permuted Pre-training for Language Understanding »
Kaitao Song · Xu Tan · Tao Qin · Jianfeng Lu · Tie-Yan Liu -
2020 Poster: Understanding and Exploring the Network with Stochastic Architectures »
Zhijie Deng · Yinpeng Dong · Shifeng Zhang · Jun Zhu -
2019 : Mehryar Mohri, "Learning with Sample-Dependent Hypothesis Sets" »
Mehryar Mohri -
2019 Poster: Neural Machine Translation with Soft Prototype »
Yiren Wang · Yingce Xia · Fei Tian · Fei Gao · Tao Qin · Cheng Xiang Zhai · Tie-Yan Liu -
2019 Poster: Learning GANs and Ensembles Using Discrepancy »
Ben Adlam · Corinna Cortes · Mehryar Mohri · Ningshan Zhang -
2019 Poster: Improving Black-box Adversarial Attacks with a Transfer-based Prior »
Shuyu Cheng · Yinpeng Dong · Tianyu Pang · Hang Su · Jun Zhu -
2019 Poster: FastSpeech: Fast, Robust and Controllable Text to Speech »
Yi Ren · Yangjun Ruan · Xu Tan · Tao Qin · Sheng Zhao · Zhou Zhao · Tie-Yan Liu -
2019 Poster: Bandits with Feedback Graphs and Switching Costs »
Raman Arora · Teodor Vanislavov Marinov · Mehryar Mohri -
2019 Poster: Generative Well-intentioned Networks »
Justin Cosentino · Jun Zhu -
2019 Poster: Regularized Gradient Boosting »
Corinna Cortes · Mehryar Mohri · Dmitry Storcheus -
2019 Poster: Fully Parameterized Quantile Function for Distributional Reinforcement Learning »
Derek Yang · Li Zhao · Zichuan Lin · Tao Qin · Jiang Bian · Tie-Yan Liu -
2019 Poster: Distributional Reward Decomposition for Reinforcement Learning »
Zichuan Lin · Li Zhao · Derek Yang · Tao Qin · Tie-Yan Liu · Guangwen Yang -
2019 Poster: Multi-objects Generation with Amortized Structural Regularization »
Kun Xu · Chongxuan LI · Jun Zhu · Bo Zhang -
2019 Poster: Normalization Helps Training of Quantized LSTM »
Lu Hou · Jinhua Zhu · James Kwok · Fei Gao · Tao Qin · Tie-Yan Liu -
2019 Poster: DATA: Differentiable ArchiTecture Approximation »
Jianlong Chang · xinbang zhang · Yiwen Guo · GAOFENG MENG · SHIMING XIANG · Chunhong Pan -
2019 Poster: Hypothesis Set Stability and Generalization »
Dylan Foster · Spencer Greenberg · Satyen Kale · Haipeng Luo · Mehryar Mohri · Karthik Sridharan -
2019 Poster: Sampled Softmax with Random Fourier Features »
Ankit Singh Rawat · Jiecao Chen · Felix Xinnan Yu · Ananda Theertha Suresh · Sanjiv Kumar -
2019 Poster: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks »
Yiwen Guo · Ziang Yan · Changshui Zhang -
2019 Poster: Differentially Private Anonymized Histograms »
Ananda Theertha Suresh -
2018 Workshop: AI for social good »
Margaux Luck · Tristan Sylvain · Joseph Paul Cohen · Arsene Fansi Tchango · Valentine Goddard · Aurelie Helouis · Yoshua Bengio · Sam Greydanus · Cody Wild · Taras Kucherenko · Arya Farahi · Jonathan Penn · Sean McGregor · Mark Crowley · Abhishek Gupta · Kenny Chen · Myriam Côté · Rediet Abebe -
2018 Poster: Domain-Invariant Projection Learning for Zero-Shot Recognition »
An Zhao · Mingyu Ding · Jiechao Guan · Zhiwu Lu · Tao Xiang · Ji-Rong Wen -
2018 Poster: Policy Regret in Repeated Games »
Raman Arora · Michael Dinitz · Teodor Vanislavov Marinov · Mehryar Mohri -
2018 Poster: Neural Architecture Optimization »
Renqian Luo · Fei Tian · Tao Qin · Enhong Chen · Tie-Yan Liu -
2018 Poster: Learning to Teach with Dynamic Loss Functions »
Lijun Wu · Fei Tian · Yingce Xia · Yang Fan · Tao Qin · Lai Jian-Huang · Tie-Yan Liu -
2018 Poster: Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses »
Corinna Cortes · Vitaly Kuznetsov · Mehryar Mohri · Dmitry Storcheus · Scott Yang -
2018 Poster: Algorithms and Theory for Multiple-Source Adaptation »
Judy Hoffman · Mehryar Mohri · Ningshan Zhang -
2018 Poster: Data Amplification: A Unified and Competitive Approach to Property Estimation »
Yi Hao · Alon Orlitsky · Ananda Theertha Suresh · Yihong Wu -
2018 Poster: Towards Robust Detection of Adversarial Examples »
Tianyu Pang · Chao Du · Yinpeng Dong · Jun Zhu -
2018 Poster: cpSGD: Communication-efficient and differentially-private distributed SGD »
Naman Agarwal · Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Brendan McMahan -
2018 Poster: Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation »
Tianyu He · Xu Tan · Yingce Xia · Di He · Tao Qin · Zhibo Chen · Tie-Yan Liu -
2018 Spotlight: Towards Robust Detection of Adversarial Examples »
Tianyu Pang · Chao Du · Yinpeng Dong · Jun Zhu -
2018 Spotlight: cpSGD: Communication-efficient and differentially-private distributed SGD »
Naman Agarwal · Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Brendan McMahan -
2018 Poster: FRAGE: Frequency-Agnostic Word Representation »
Chengyue Gong · Di He · Xu Tan · Tao Qin · Liwei Wang · Tie-Yan Liu -
2018 Poster: Graphical Generative Adversarial Networks »
Chongxuan LI · Max Welling · Jun Zhu · Bo Zhang -
2017 : Mehryar Mohri (NYU) on Tight Learning Bounds for Multi-Class Classification »
Mehryar Mohri -
2017 : (Invited Talk) Mehryar Mohri: Regret minimization against strategic buyers. »
Mehryar Mohri -
2017 Poster: Triple Generative Adversarial Nets »
Chongxuan LI · Kun Xu · Jun Zhu · Bo Zhang -
2017 Poster: Discriminative State Space Models »
Vitaly Kuznetsov · Mehryar Mohri -
2017 Poster: Decoding with Value Networks for Neural Machine Translation »
Di He · Hanqing Lu · Yingce Xia · Tao Qin · Liwei Wang · Tie-Yan Liu -
2017 Poster: Online Learning with Transductive Regret »
Scott Yang · Mehryar Mohri -
2017 Poster: Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting »
Yue Wang · Wei Chen · Yuting Liu · Zhi-Ming Ma · Tie-Yan Liu -
2017 Poster: Multiscale Quantization for Fast Similarity Search »
Xiang Wu · Ruiqi Guo · Ananda Theertha Suresh · Sanjiv Kumar · Daniel Holtmann-Rice · David Simcha · Felix Yu -
2017 Poster: Parameter-Free Online Learning via Model Selection »
Dylan J Foster · Satyen Kale · Mehryar Mohri · Karthik Sridharan -
2017 Spotlight: Parameter-Free Online Learning via Model Selection »
Dylan J Foster · Satyen Kale · Mehryar Mohri · Karthik Sridharan -
2017 Spotlight: Online Learning with Transductive Regret »
Scott Yang · Mehryar Mohri -
2017 Poster: Deliberation Networks: Sequence Generation Beyond One-Pass Decoding »
Yingce Xia · Fei Tian · Lijun Wu · Jianxin Lin · Tao Qin · Nenghai Yu · Tie-Yan Liu -
2017 Poster: Model-Powered Conditional Independence Test »
Rajat Sen · Ananda Theertha Suresh · Karthikeyan Shanmugam · Alex Dimakis · Sanjay Shakkottai -
2017 Poster: LightGBM: A Highly Efficient Gradient Boosting Decision Tree »
Guolin Ke · Qi Meng · Thomas Finley · Taifeng Wang · Wei Chen · Weidong Ma · Qiwei Ye · Tie-Yan Liu -
2017 Poster: Population Matching Discrepancy and Applications in Deep Learning »
Jianfei Chen · Chongxuan LI · Yizhong Ru · Jun Zhu -
2016 Poster: Structured Prediction Theory Based on Factor Graph Complexity »
Corinna Cortes · Vitaly Kuznetsov · Mehryar Mohri · Scott Yang -
2016 Poster: Kernel Bayesian Inference with Posterior Regularization »
Yang Song · Jun Zhu · Yong Ren -
2016 Poster: Dual Learning for Machine Translation »
Di He · Yingce Xia · Tao Qin · Liwei Wang · Nenghai Yu · Tie-Yan Liu · Wei-Ying Ma -
2016 Poster: LightRNN: Memory and Computation-Efficient Recurrent Neural Networks »
Xiang Li · Tao Qin · Jian Yang · Xiaolin Hu · Tie-Yan Liu -
2016 Poster: Stochastic Gradient Geodesic MCMC Methods »
Chang Liu · Jun Zhu · Yang Song -
2016 Poster: Conditional Generative Moment-Matching Networks »
Yong Ren · Jun Zhu · Jialian Li · Yucen Luo -
2016 Poster: Boosting with Abstention »
Corinna Cortes · Giulia DeSalvo · Mehryar Mohri -
2016 Poster: Optimistic Bandit Convex Optimization »
Scott Yang · Mehryar Mohri -
2016 Tutorial: Theory and Algorithms for Forecasting Non-Stationary Time Series »
Vitaly Kuznetsov · Mehryar Mohri -
2015 : A Theory of Multiple Source Adaptation »
Mehryar Mohri -
2015 : Learning Theory and Algorithms for Time Series »
Mehryar Mohri -
2015 Poster: Max-Margin Majority Voting for Learning from Crowds »
TIAN TIAN · Jun Zhu -
2015 Poster: Max-Margin Deep Generative Models »
Chongxuan Li · Jun Zhu · Tim Shi · Bo Zhang -
2015 Poster: Revenue Optimization against Strategic Buyers »
Mehryar Mohri · Andres Munoz -
2015 Poster: Learning Theory and Algorithms for Forecasting Non-stationary Time Series »
Vitaly Kuznetsov · Mehryar Mohri -
2015 Oral: Learning Theory and Algorithms for Forecasting Non-stationary Time Series »
Vitaly Kuznetsov · Mehryar Mohri -
2014 Workshop: Second Workshop on Transfer and Multi-Task Learning: Theory meets Practice »
Urun Dogan · Tatiana Tommasi · Yoshua Bengio · Francesco Orabona · Marius Kloft · Andres Munoz · Gunnar Rätsch · Hal Daumé III · Mehryar Mohri · Xuezhi Wang · Daniel Hernández-lobato · Song Liu · Thomas Unterthiner · Pascal Germain · Vinay P Namboodiri · Michael Goetz · Christopher Berlind · Sigurd Spieckermann · Marta Soare · Yujia Li · Vitaly Kuznetsov · Wenzhao Lian · Daniele Calandriello · Emilie Morvant -
2014 Workshop: NIPS Workshop on Transactional Machine Learning and E-Commerce »
David Parkes · David H Wolpert · Jennifer Wortman Vaughan · Jacob D Abernethy · Amos Storkey · Mark Reid · Ping Jin · Nihar Bhadresh Shah · Mehryar Mohri · Luis E Ortiz · Robin Hanson · Aaron Roth · Satyen Kale · Sebastien Lahaie -
2014 Poster: Distributed Bayesian Posterior Sampling via Moment Sharing »
Minjie Xu · Balaji Lakshminarayanan · Yee Whye Teh · Jun Zhu · Bo Zhang -
2014 Poster: Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers »
Mehryar Mohri · Andres Munoz -
2014 Poster: Multi-Class Deep Boosting »
Vitaly Kuznetsov · Mehryar Mohri · Umar Syed -
2014 Poster: Spectral Methods for Supervised Topic Models »
Yining Wang · Jun Zhu -
2014 Spotlight: Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers »
Mehryar Mohri · Andres Munoz -
2014 Session: Oral Session 6 »
Mehryar Mohri -
2014 Poster: Conditional Swap Regret and Conditional Correlated Equilibrium »
Mehryar Mohri · Scott Yang -
2014 Poster: Robust Bayesian Max-Margin Clustering »
Changyou Chen · Jun Zhu · Xinhua Zhang -
2013 Poster: Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising »
Min Xu · Tao Qin · Tie-Yan Liu -
2013 Poster: Learning Kernels Using Local Rademacher Complexity »
Corinna Cortes · Marius Kloft · Mehryar Mohri -
2013 Spotlight: Learning Kernels Using Local Rademacher Complexity »
Corinna Cortes · Marius Kloft · Mehryar Mohri -
2013 Poster: Scalable Inference for Logistic-Normal Topic Models »
Jianfei Chen · Jun Zhu · Zi Wang · Xun Zheng · Bo Zhang -
2012 Poster: Accuracy at the Top »
Stephen Boyd · Corinna Cortes · Mehryar Mohri · Ana Radovanovic -
2012 Poster: Monte Carlo Methods for Maximum Margin Supervised Topic Models »
Qixia Jiang · Jun Zhu · Maosong Sun · Eric Xing -
2012 Poster: Spectral Learning of General Weighted Automata via Constrained Matrix Completion »
Borja Balle · Mehryar Mohri -
2012 Oral: Spectral Learning of General Weighted Automata via Constrained Matrix Completion »
Borja Balle · Mehryar Mohri -
2012 Poster: Bayesian Nonparametric Maximum Margin Matrix Factorization for Collaborative Prediction »
Minjie Xu · Jun Zhu · Bo Zhang -
2011 Workshop: Sparse Representation and Low-rank Approximation »
Ameet S Talwalkar · Lester W Mackey · Mehryar Mohri · Michael W Mahoney · Francis Bach · Mike Davies · Remi Gribonval · Guillaume R Obozinski -
2011 Poster: Infinite Latent SVM for Classification and Multi-task Learning »
Jun Zhu · Ning Chen · Eric Xing -
2010 Workshop: Low-rank Methods for Large-scale Machine Learning »
Arthur Gretton · Michael W Mahoney · Mehryar Mohri · Ameet S Talwalkar -
2010 Workshop: Machine Learning in Online Advertising »
James G Shanahan · Deepak Agarwal · Tao Qin · Tie-Yan Liu -
2010 Poster: Large Margin Learning of Upstream Scene Understanding Models »
Jun Zhu · Li-Jia Li · Li Fei-Fei · Eric Xing -
2010 Poster: Predictive Subspace Learning for Multi-view Data: a Large Margin Approach »
Ning Chen · Jun Zhu · Eric Xing -
2010 Poster: Learning Bounds for Importance Weighting »
Corinna Cortes · Yishay Mansour · Mehryar Mohri -
2010 Poster: A New Probabilistic Model for Rank Aggregation »
Tao Qin · Xiubo Geng · Tie-Yan Liu -
2010 Poster: Adaptive Multi-Task Lasso: with Application to eQTL Detection »
Seunghak Lee · Jun Zhu · Eric Xing -
2010 Poster: Efficient Relational Learning with Hidden Variable Detection »
Ni Lao · Jun Zhu · Liu Xinwang · Yandong Liu · William Cohen -
2009 Poster: Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models »
Gideon S Mann · Ryan McDonald · Mehryar Mohri · Nathan Silberman · Dan Walker -
2009 Poster: Ensemble Nystrom Method »
Sanjiv Kumar · Mehryar Mohri · Ameet S Talwalkar -
2009 Spotlight: Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models »
Gideon S Mann · Ryan McDonald · Mehryar Mohri · Nathan Silberman · Dan Walker -
2009 Poster: Learning Non-Linear Combinations of Kernels »
Corinna Cortes · Mehryar Mohri · Afshin Rostamizadeh -
2009 Poster: Polynomial Semantic Indexing »
Bing Bai · Jason E Weston · David Grangier · Ronan Collobert · Kunihiko Sadamasa · Yanjun Qi · Corinna Cortes · Mehryar Mohri -
2008 Workshop: Kernel Learning: Automatic Selection of Optimal Kernels »
Corinna Cortes · Arthur Gretton · Gert Lanckriet · Mehryar Mohri · Afshin Rostamizadeh -
2008 Poster: Domain Adaptation with Multiple Sources »
Yishay Mansour · Mehryar Mohri · Afshin Rostamizadeh -
2008 Poster: Global Ranking Using Continuous Conditional Random Fields »
Tao Qin · Tie-Yan Liu · Xu-Dong Zhang · De-Sheng Wang · Hang Li -
2008 Oral: Global Ranking Using Continuous Conditional Random Fields »
Tao Qin · Tie-Yan Liu · Xu-Dong Zhang · De-Sheng Wang · Hang Li -
2008 Spotlight: Domain Adaptation with Multiple Sources »
Yishay Mansour · Mehryar Mohri · Afshin Rostamizadeh -
2008 Poster: Partially Observed Maximum Entropy Discrimination Markov Networks »
Jun Zhu · Eric Xing · Bo Zhang -
2008 Poster: Rademacher Complexity Bounds for Non-I.I.D. Processes »
Mehryar Mohri · Afshin Rostamizadeh -
2007 Poster: Stability Bounds for Non-i.i.d. Processes »
Mehryar Mohri · Afshin Rostamizadeh -
2006 Poster: On Transductive Regression »
Corinna Cortes · Mehryar Mohri