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Lightning Talk
Lightning Talks 4A-1
Jiawei Huang · Su Jia · Abdurakhmon Sadiev · Ruomin Huang · Yuanyu Wan · Denizalp Goktas · Jiechao Guan · Andrew Li · Wei-Wei Tu · Li Zhao · Amy Greenwald · Jiawei Huang · Dmitry Kovalev · Yong Liu · Wenjie Liu · Peter Richtarik · Lijun Zhang · Zhiwu Lu · R Ravi · Tao Qin · Wei Chen · Hu Ding · Nan Jiang · Tie-Yan Liu
- [ 65026 ] Online Frank-Wolfe with Arbitrary Delays
- [ 65028 ] Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms
- [ 65030 ] Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox
- [ 65031 ] Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
- [ 65034 ] Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand Model
- [ 65035 ] Coresets for Wasserstein Distributionally Robust Optimization Problems
- [ 65036 ] Exploitability Minimization in Games and Beyond
Q&A on RocketChat immediately following Lightning Talks
Author Information
Jiawei Huang (ETH Zurich)
Su Jia (Cornell)
Abdurakhmon Sadiev (Moscow Institute of Physics and Technology)
Ruomin Huang (University of Science and Technology of China)
Yuanyu Wan (Zhejiang University)
Denizalp Goktas (Brown University)
Jiechao Guan (Renmin University of China)
Andrew Li (Carnegie Mellon University)
Wei-Wei Tu (4Paradigm Inc.)
Li Zhao (Microsoft Research)
Amy Greenwald
Jiawei Huang (university of science and technology of china)
Dmitry Kovalev (UCLouvain)
Yong Liu (Renmin University of China)
Wenjie Liu (University of Science and Technology of China)
Peter Richtarik (KAUST)
Lijun Zhang (Nanjing University (NJU))
Zhiwu Lu (Renmin University of China)
R Ravi (Carnegie Mellon University)
Tao Qin (Microsoft Research)
Wei Chen (Microsoft Research)
Hu Ding (University of Science and Technology of China)
Nan Jiang (University of Illinois at Urbana-Champaign)
Tie-Yan Liu (Microsoft Research)
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Ruizhe Qin · Mengying Li · Hu Ding -
2021 Poster: Combinatorial Pure Exploration with Bottleneck Reward Function »
Yihan Du · Yuko Kuroki · Wei Chen -
2021 Poster: CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression »
Zhize Li · Peter Richtarik -
2021 Poster: Refined Learning Bounds for Kernel and Approximate $k$-Means »
Yong Liu -
2021 Poster: Greedy Approximation Algorithms for Active Sequential Hypothesis Testing »
Kyra Gan · Su Jia · Andrew Li -
2021 Poster: Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation »
shaogao lv · Junhui Wang · Jiankun Liu · Yong Liu -
2021 Oral: Bellman-consistent Pessimism for Offline Reinforcement Learning »
Tengyang Xie · Ching-An Cheng · Nan Jiang · Paul Mineiro · Alekh Agarwal -
2021 Poster: The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle »
Fang Kong · Yueran Yang · Wei Chen · Shuai Li -
2021 Poster: Convex-Concave Min-Max Stackelberg Games »
Denizalp Goktas · Amy Greenwald -
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: Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks »
Dmitry Kovalev · Elnur Gasanov · Alexander Gasnikov · Peter Richtarik -
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: 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: Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions »
Lijun Zhang · Guanghui Wang · Wei-Wei Tu · Wei Jiang · Zhi-Hua Zhou -
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: Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning »
Tengyang Xie · Nan Jiang · Huan Wang · Caiming Xiong · Yu Bai -
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: Online Convex Optimization with Continuous Switching Constraint »
Guanghui Wang · Yuanyu Wan · Tianbao Yang · Lijun Zhang -
2021 Poster: Learning Treatment Effects in Panels with General Intervention Patterns »
Vivek Farias · Andrew Li · Tianyi Peng -
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 Oral: EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback »
Peter Richtarik · Igor Sokolov · Ilyas Fatkhullin -
2020 : Towards Reliable Validation and Evaluation for Offline RL »
Nan Jiang -
2020 : Panel »
Emma Brunskill · Nan Jiang · Nando de Freitas · Finale Doshi-Velez · Sergey Levine · John Langford · Lihong Li · George Tucker · Rishabh Agarwal · Aviral Kumar -
2020 : Poster Session 1 (gather.town) »
Laurent Condat · Tiffany Vlaar · Ohad Shamir · Mohammadi Zaki · Zhize Li · Guan-Horng Liu · Samuel Horváth · Mher Safaryan · Yoni Choukroun · Kumar Shridhar · Nabil Kahale · Jikai Jin · Pratik Kumar Jawanpuria · Gaurav Kumar Yadav · Kazuki Koyama · Junyoung Kim · Xiao Li · Saugata Purkayastha · Adil Salim · Dighanchal Banerjee · Peter Richtarik · Lakshman Mahto · Tian Ye · Bamdev Mishra · Huikang Liu · Jiajie Zhu -
2020 Poster: Semi-Supervised Neural Architecture Search »
Renqian Luo · Xu Tan · Rui Wang · Tao Qin · Enhong Chen · Tie-Yan Liu -
2020 Poster: Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm »
Adil Salim · Peter Richtarik -
2020 Poster: Dynamic Regret of Convex and Smooth Functions »
Zhi-Hua Zhou · Yu-Jie Zhang · Lijun Zhang · Zhi-Hua Zhou -
2020 Poster: Linearly Converging Error Compensated SGD »
Eduard Gorbunov · Dmitry Kovalev · Dmitry Makarenko · Peter Richtarik -
2020 Poster: Random Reshuffling: Simple Analysis with Vast Improvements »
Konstantin Mishchenko · Ahmed Khaled Ragab Bayoumi · Peter Richtarik -
2020 Spotlight: Linearly Converging Error Compensated SGD »
Eduard Gorbunov · Dmitry Kovalev · Dmitry Makarenko · Peter Richtarik -
2020 Session: Orals & Spotlights Track 21: Optimization »
Peter Richtarik · Marco Cuturi -
2020 Poster: Online Influence Maximization under Linear Threshold Model »
Shuai Li · Fang Kong · Kejie Tang · Qizhi Li · Wei Chen -
2020 Poster: Lower Bounds and Optimal Algorithms for Personalized Federated Learning »
Filip Hanzely · Slavomír Hanzely · Samuel Horváth · Peter Richtarik -
2020 Poster: RD$^2$: Reward Decomposition with Representation Decomposition »
Zichuan Lin · Derek Yang · Li Zhao · Tao Qin · Guangwen Yang · Tie-Yan Liu -
2020 Poster: Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization »
Dmitry Kovalev · Adil Salim · Peter Richtarik -
2020 Poster: MPNet: Masked and Permuted Pre-training for Language Understanding »
Kaitao Song · Xu Tan · Tao Qin · Jianfeng Lu · Tie-Yan Liu -
2020 Poster: Minimax Value Interval for Off-Policy Evaluation and Policy Optimization »
Nan Jiang · Jiawei Huang -
2019 : Poster and Coffee Break 2 »
Karol Hausman · Kefan Dong · Ken Goldberg · Lihong Li · Lin Yang · Lingxiao Wang · Lior Shani · Liwei Wang · Loren Amdahl-Culleton · Lucas Cassano · Marc Dymetman · Marc Bellemare · Marcin Tomczak · Margarita Castro · Marius Kloft · Marius-Constantin Dinu · Markus Holzleitner · Martha White · Mengdi Wang · Michael Jordan · Mihailo Jovanovic · Ming Yu · Minshuo Chen · Moonkyung Ryu · Muhammad Zaheer · Naman Agarwal · Nan Jiang · Niao He · Nikolaus Yasui · Nikos Karampatziakis · Nino Vieillard · Ofir Nachum · Olivier Pietquin · Ozan Sener · Pan Xu · Parameswaran Kamalaruban · Paul Mineiro · Paul Rolland · Philip Amortila · Pierre-Luc Bacon · Prakash Panangaden · Qi Cai · Qiang Liu · Quanquan Gu · Raihan Seraj · Richard Sutton · Rick Valenzano · Robert Dadashi · Rodrigo Toro Icarte · Roshan Shariff · Roy Fox · Ruosong Wang · Saeed Ghadimi · Samuel Sokota · Sean Sinclair · Sepp Hochreiter · Sergey Levine · Sergio Valcarcel Macua · Sham Kakade · Shangtong Zhang · Sheila McIlraith · Shie Mannor · Shimon Whiteson · Shuai Li · Shuang Qiu · Wai Lok Li · Siddhartha Banerjee · Sitao Luan · Tamer Basar · Thinh Doan · Tianhe Yu · Tianyi Liu · Tom Zahavy · Toryn Klassen · Tuo Zhao · Vicenç Gómez · Vincent Liu · Volkan Cevher · Wesley Suttle · Xiao-Wen Chang · Xiaohan Wei · Xiaotong Liu · Xingguo Li · Xinyi Chen · Xingyou Song · Yao Liu · YiDing Jiang · Yihao Feng · Yilun Du · Yinlam Chow · Yinyu Ye · Yishay Mansour · · Yonathan Efroni · Yongxin Chen · Yuanhao Wang · Bo Dai · Chen-Yu Wei · Harsh Shrivastava · Hongyang Zhang · Qinqing Zheng · SIDDHARTHA SATPATHI · Xueqing Liu · Andreu Vall -
2019 Workshop: CiML 2019: Machine Learning Competitions for All »
Adrienne Mendrik · Wei-Wei Tu · Wei-Wei Tu · Isabelle Guyon · Evelyne Viegas · Ming LI -
2019 : Welcome and Opening Remarks »
Adrienne Mendrik · Wei-Wei Tu · Isabelle Guyon · Evelyne Viegas · Ming LI -
2019 Poster: Adaptive Influence Maximization with Myopic Feedback »
Binghui Peng · Wei Chen -
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: Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test »
Lizhong Ding · Mengyang Yu · Li Liu · Fan Zhu · Yong Liu · Yu Li · Ling Shao -
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: 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: Normalization Helps Training of Quantized LSTM »
Lu Hou · Jinhua Zhu · James Kwok · Fei Gao · Tao Qin · Tie-Yan Liu -
2019 Poster: RSN: Randomized Subspace Newton »
Robert Gower · Dmitry Kovalev · Felix Lieder · Peter Richtarik -
2019 Poster: Optimal Decision Tree with Noisy Outcomes »
Su Jia · viswanath nagarajan · Fatemeh Navidi · R Ravi -
2019 Poster: Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates »
Adil Salim · Dmitry Kovalev · Peter Richtarik -
2019 Spotlight: Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates »
Adil Salim · Dmitry Kovalev · Peter Richtarik -
2019 Poster: Provably Efficient Q-Learning with Low Switching Cost »
Yu Bai · Tengyang Xie · Nan Jiang · Yu-Xiang Wang -
2018 : AutoML3 - LifeLong ML with concept drift Challenge: Overview and award ceremony »
Hugo Jair Escalante · Isabelle Guyon · Daniel Silver · Evelyne Viegas · Wei-Wei Tu -
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: Adaptive Online Learning in Dynamic Environments »
Lijun Zhang · Shiyin Lu · Zhi-Hua Zhou -
2018 Poster: Multi-Class Learning: From Theory to Algorithm »
Jian Li · Yong Liu · Rong Yin · Hua Zhang · Lizhong Ding · Weiping Wang -
2018 Poster: Stochastic Spectral and Conjugate Descent Methods »
Dmitry Kovalev · Peter Richtarik · Eduard Gorbunov · Elnur Gasanov -
2018 Poster: Community Exploration: From Offline Optimization to Online Learning »
Xiaowei Chen · Weiran Huang · Wei Chen · John C. S. Lui -
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: Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization »
Robert Gower · Filip Hanzely · Peter Richtarik · Sebastian Stich -
2018 Poster: $\ell_1$-regression with Heavy-tailed Distributions »
Lijun Zhang · Zhi-Hua Zhou -
2018 Poster: SEGA: Variance Reduction via Gradient Sketching »
Filip Hanzely · Konstantin Mishchenko · Peter Richtarik -
2018 Poster: Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions »
Mingrui Liu · Xiaoxuan Zhang · Lijun Zhang · Rong Jin · Tianbao Yang -
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 Poster: FRAGE: Frequency-Agnostic Word Representation »
Chengyue Gong · Di He · Xu Tan · Tao Qin · Liwei Wang · Tie-Yan Liu -
2017 Poster: Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications »
Qinshi Wang · Wei Chen -
2017 Poster: Scalable Demand-Aware Recommendation »
Jinfeng Yi · Cho-Jui Hsieh · Kush Varshney · Lijun Zhang · Yao Li -
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: Improved Dynamic Regret for Non-degenerate Functions »
Lijun Zhang · Tianbao Yang · Jinfeng Yi · Rong Jin · Zhi-Hua Zhou -
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: Learning with Feature Evolvable Streams »
Bo-Jian Hou · Lijun Zhang · Zhi-Hua Zhou -
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: 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: Influence Maximization with $\varepsilon$-Almost Submodular Threshold Functions »
Qiang Li · Wei Chen · Institute of Computing Xiaoming Sun · Institute of Computing Jialin Zhang -
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: Combinatorial Multi-Armed Bandit with General Reward Functions »
Wei Chen · Wei Hu · Fu Li · Jian Li · Yu Liu · Pinyan Lu -
2016 Poster: LightRNN: Memory and Computation-Efficient Recurrent Neural Networks »
Xiang Li · Tao Qin · Jian Yang · Xiaolin Hu · Tie-Yan Liu -
2015 Poster: Stochastic Online Greedy Learning with Semi-bandit Feedbacks »
Tian Lin · Jian Li · Wei Chen -
2015 Poster: Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling »
Zheng Qu · Peter Richtarik · Tong Zhang -
2014 Poster: Combinatorial Pure Exploration of Multi-Armed Bandits »
Shouyuan Chen · Tian Lin · Irwin King · Michael R Lyu · Wei Chen -
2014 Oral: Combinatorial Pure Exploration of Multi-Armed Bandits »
Shouyuan Chen · Tian Lin · Irwin King · Michael R Lyu · Wei Chen -
2013 Poster: Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising »
Min Xu · Tao Qin · Tie-Yan Liu -
2013 Poster: Mixed Optimization for Smooth Functions »
Mehrdad Mahdavi · Lijun Zhang · Rong Jin -
2013 Poster: Linear Convergence with Condition Number Independent Access of Full Gradients »
Lijun Zhang · Mehrdad Mahdavi · Rong Jin -
2010 Workshop: Machine Learning in Online Advertising »
James G Shanahan · Deepak Agarwal · Tao Qin · Tie-Yan Liu -
2010 Poster: A New Probabilistic Model for Rank Aggregation »
Tao Qin · Xiubo Geng · Tie-Yan Liu -
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