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Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
DORO: Distributional and Outlier Robust Optimization
Runtian Zhai · Chen Dan · Zico Kolter · Pradeep Ravikumar
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Segmenting Hybrid Trajectories using Latent ODEs
Ruian Shi · Quaid Morris
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
Hancheng Min · Salma Tarmoun · Rene Vidal · Enrique Mallada
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
Tengyu Xu · Yingbin LIANG · Guanghui Lan
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series
Syama Sundar Yadav Rangapuram · Lucien Werner · Konstantinos Benidis · Pedro Mercado · Jan Gasthaus · Tim Januschowski
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
Pier Giuseppe Sessa · Ilija Bogunovic · Andreas Krause · Maryam Kamgarpour
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Versatile Verification of Tree Ensembles
Laurens Devos · Wannes Meert · Jesse Davis
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning
Ashok Vardhan Makkuva · Xiyang Liu · Mohammad Vahid Jamali · Hessam Mahdavifar · Sewoong Oh · Pramod Viswanath
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Alternative Microfoundations for Strategic Classification
Meena Jagadeesan · Celestine Mendler-Dünner · Moritz Hardt
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
Peizhong Ju · Xiaojun Lin · Ness Shroff
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Safe Reinforcement Learning Using Advantage-Based Intervention
Nolan Wagener · Byron Boots · Ching-An Cheng
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs
Hongyu Ren · Hanjun Dai · Bo Dai · Xinyun Chen · Michihiro Yasunaga · Haitian Sun · Dale Schuurmans · Jure Leskovec · Denny Zhou
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provably Correct Optimization and Exploration with Non-linear Policies
Fei Feng · Wotao Yin · Alekh Agarwal · Lin Yang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Multidimensional Scaling: Approximation and Complexity
Erik Demaine · Adam C Hesterberg · Frederic Koehler · Jayson Lynch · John C Urschel
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
Stanislaw Jastrzebski · Devansh Arpit · Oliver Astrand · Giancarlo Kerg · Huan Wang · Caiming Xiong · Richard Socher · Kyunghyun Cho · Krzysztof J Geras
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
Soumyasundar Pal · Liheng Ma · Yingxue Zhang · Mark Coates
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Incentivized Bandit Learning with Self-Reinforcing User Preferences
Tianchen Zhou · Jia Liu · Chaosheng Dong · jingyuan deng
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
Amanda Gentzel · Purva Pruthi · David Jensen
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Understanding self-supervised learning dynamics without contrastive pairs
Yuandong Tian · Xinlei Chen · Surya Ganguli
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Leveraging Non-uniformity in First-order Non-convex Optimization
Jincheng Mei · Yue Gao · Bo Dai · Csaba Szepesvari · Dale Schuurmans
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case
Liyu Chen · Haipeng Luo
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions
Pierre Alquier
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Classification with Rejection Based on Cost-sensitive Classification
Nontawat Charoenphakdee · Zhenghang Cui · Yivan Zhang · Masashi Sugiyama
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation
Ali Akbari · Muhammad Awais · Manijeh Bashar · Josef Kittler
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Interaction-Grounded Learning
Tengyang Xie · John Langford · Paul Mineiro · Ida Momennejad
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Multi-Dimensional Classification via Sparse Label Encoding
BINBIN JIA · Min-Ling Zhang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Mandoline: Model Evaluation under Distribution Shift
Mayee Chen · Karan Goel · Nimit Sohoni · Fait Poms · Kayvon Fatahalian · Christopher Re
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Detection of Signal in the Spiked Rectangular Models
Ji Hyung Jung · Hye Won Chung · Ji Oon Lee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Randomized Exploration in Reinforcement Learning with General Value Function Approximation
Haque Ishfaq · Qiwen Cui · Viet Nguyen · Alex Ayoub · Zhuoran Yang · Zhaoran Wang · Doina Precup · Lin Yang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
Yujia Jin · Aaron Sidford
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
An Information-Geometric Distance on the Space of Tasks
Yansong Gao · Pratik Chaudhari
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
Jonathan Lacotte · Yifei Wang · Mert Pilanci
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks
Hao Liu · Minshuo Chen · Tuo Zhao · Wenjing Liao
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Analysis of stochastic Lanczos quadrature for spectrum approximation
Tyler Chen · Thomas Trogdon · Shashanka Ubaru
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Dropout: Explicit Forms and Capacity Control
Raman Arora · Peter Bartlett · Poorya Mianjy · Nati Srebro
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
The Impact of Record Linkage on Learning from Feature Partitioned Data
Richard Nock · Stephen J Hardy · Wilko Henecka · Hamish Ivey-Law · Jakub Nabaglo · Giorgio Patrini · Guillaume Smith · Brian Thorne
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Deep Learning for Functional Data Analysis with Adaptive Basis Layers
Junwen Yao · Jonas Mueller · Jane-Ling Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cyclically Equivariant Neural Decoders for Cyclic Codes
Xiangyu Chen · Min Ye
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Finding Relevant Information via a Discrete Fourier Expansion
Mohsen Heidari · Jithin Sreedharan · Gil Shamir · Wojciech Szpankowski
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann · Yash Sharma · Steffen Schneider · Matthias Bethge · Wieland Brendel
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
Krishnateja Killamsetty · Durga S · Ganesh Ramakrishnan · Abir De · Rishabh Iyer
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction
Jiaqian Yu · Jingtao Xu · Yiwei Chen · Weiming Li · Qiang Wang · ByungIn Yoo · Jae-Joon Han
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
Gokul Swamy · Sanjiban Choudhury · J. Bagnell · Steven Wu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Train simultaneously, generalize better: Stability of gradient-based minimax learners
Farzan Farnia · Asuman Ozdaglar
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift
Ashraf Tahmasbi · Ellango Jothimurugesan · Srikanta Tirthapura · Phillip Gibbons
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
MOTS: Minimax Optimal Thompson Sampling
Tianyuan Jin · Pan Xu · Jieming Shi · Xiaokui Xiao · Quanquan Gu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Asymptotics of Ridge Regression in Convolutional Models
Mojtaba Sahraee-Ardakan · Tung Mai · Anup Rao · Ryan A. Rossi · Sundeep Rangan · Alyson Fletcher
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
Nevena Lazic · Dong Yin · Yasin Abbasi-Yadkori · Csaba Szepesvari
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A Novel Method to Solve Neural Knapsack Problems
Duanshun Li · Jing Liu · Dongeun Lee · Ali S. Mazloom · Giridhar Kaushik · Kookjin Lee · Noseong Park
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Conformal prediction interval for dynamic time-series
Chen Xu · Yao Xie
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
HyperHyperNetwork for the Design of Antenna Arrays
Shahar Lutati · Lior Wolf
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks
Greg Yang · Edward Hu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Learning by Turning: Neural Architecture Aware Optimisation
Yang Liu · Jeremy Bernstein · Markus Meister · Yisong Yue
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
Qinghua Liu · Tiancheng Yu · Yu Bai · Chi Jin
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
How Important is the Train-Validation Split in Meta-Learning?
Yu Bai · Minshuo Chen · Pan Zhou · Tuo Zhao · Jason Lee · Sham Kakade · Huan Wang · Caiming Xiong
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
Kuruge Darshana Abeyrathna · Bimal Bhattarai · Morten Goodwin · Saeed Rahimi Gorji · Ole-Christoffer Granmo · Lei Jiao · Rupsa Saha · Rohan Kumar Yadav
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games
Ilai Bistritz · Nicholas Bambos
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
Dongruo Zhou · Jiafan He · Quanquan Gu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
Zeyu Yan · Fei Wen · rendong Ying · Chao Ma · Peilin Liu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Trees with Attention for Set Prediction Tasks
Roy Hirsch · Ran Gilad-Bachrach
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sample Complexity of Robust Linear Classification on Separated Data
Robi Bhattacharjee · Somesh Jha · Kamalika Chaudhuri
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits
Tianyuan Jin · Jing Tang · Pan Xu · Keke Huang · Xiaokui Xiao · Quanquan Gu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Robust Policy Gradient against Strong Data Corruption
Xuezhou Zhang · Yiding Chen · Jerry Zhu · Wen Sun
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Best Arm Identification in Graphical Bilinear Bandits
Geovani Rizk · Albert Thomas · Igor Colin · Rida Laraki · Yann Chevaleyre
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang · Kartik Ahuja · Yilun Xu · Yisen Wang · Aaron Courville
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Improved OOD Generalization via Adversarial Training and Pretraing
Mingyang Yi · Lu Hou · Jiacheng Sun · Lifeng Shang · Xin Jiang · Qun Liu · Zhiming Ma
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Neural SDEs as Infinite-Dimensional GANs
Patrick Kidger · James Foster · Xuechen Li · Terry Lyons
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Dynamic Balancing for Model Selection in Bandits and RL
Ashok Cutkosky · Christoph Dann · Abhimanyu Das · Claudio Gentile · Aldo Pacchiano · Manish Purohit
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Approximation Theory of Convolutional Architectures for Time Series Modelling
Haotian Jiang · Zhong Li · Qianxiao Li
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Breaking the Deadly Triad with a Target Network
Shangtong Zhang · Hengshuai Yao · Shimon Whiteson
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning
Hassan Hafez-Kolahi · Behrad Moniri · Shohreh Kasaei · Mahdieh Soleymani Baghshah
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis
Baihe Huang · Xiaoxiao Li · Zhao Song · Xin Yang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
12-Lead ECG Reconstruction via Koopman Operators
Tomer Golany · Kira Radinsky · Daniel Freedman · Saar Minha
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Understanding Noise Injection in GANs
Ruili Feng · Deli Zhao · Zheng-Jun Zha
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Toward Better Generalization Bounds with Locally Elastic Stability
Zhun Deng · Hangfeng He · Weijie Su
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
AdaXpert: Adapting Neural Architecture for Growing Data
Shuaicheng Niu · Jiaxiang Wu · Guanghui Xu · Yifan Zhang · Yong Guo · Peilin Zhao · Peng Wang · Mingkui Tan
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport
Lewis Liu · Yufeng Zhang · Zhuoran Yang · Reza Babanezhad · Zhaoran Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Fast active learning for pure exploration in reinforcement learning
Pierre MENARD · Omar Darwiche Domingues · Anders Jonsson · Emilie Kaufmann · Edouard Leurent · Michal Valko
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
Max Biggs · Wei Sun · Markus Ettl
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis
Yuhan Liu · Shiliang Sun
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication
Sangwoo Hong · Heecheol Yang · Youngseok Yoon · Tae Hyun Cho · Jungwoo Lee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
Chung-Wei Lee · Haipeng Luo · Chen-Yu Wei · Mengxiao Zhang · Xiaojin Zhang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Task-Optimal Exploration in Linear Dynamical Systems
Andrew Wagenmaker · Max Simchowitz · Kevin Jamieson
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provable Meta-Learning of Linear Representations
Nilesh Tripuraneni · Chi Jin · Michael Jordan
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On the Inherent Regularization Effects of Noise Injection During Training
Oussama Dhifallah · Yue Lu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On Variational Inference in Biclustering Models
Guanhua Fang · Ping Li
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
Esther Rolf · Theodora Worledge · Benjamin Recht · Michael Jordan
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Cumulants of Hawkes Processes are Robust to Observation Noise
William Trouleau · Jalal Etesami · Matthias Grossglauser · Negar Kiyavash · Patrick Thiran
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Outside the Echo Chamber: Optimizing the Performative Risk
John Miller · Juan Perdomo · Tijana Zrnic
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On Robust Mean Estimation under Coordinate-level Corruption
Zifan Liu · Jong Ho Park · Theo Rekatsinas · Christos Tzamos
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
Tao Lin · Sai Praneeth Reddy Karimireddy · Sebastian Stich · Martin Jaggi
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
Shiwei Liu · Lu Yin · Decebal Constantin Mocanu · Mykola Pechenizkiy
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Top-k eXtreme Contextual Bandits with Arm Hierarchy
Rajat Sen · Alexander Rakhlin · Lexing Ying · Rahul Kidambi · Dean Foster · Daniel Hill · Inderjit Dhillon
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Making Paper Reviewing Robust to Bid Manipulation Attacks
Ruihan Wu · Chuan Guo · Felix Wu · Rahul Kidambi · Laurens van der Maaten · Kilian Weinberger
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Model Performance Scaling with Multiple Data Sources
Tatsunori Hashimoto
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Towards Distraction-Robust Active Visual Tracking
Fangwei Zhong · Peng Sun · Wenhan Luo · Tingyun Yan · Yizhou Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Implicit rate-constrained optimization of non-decomposable objectives
Abhishek Kumar · Harikrishna Narasimhan · Andrew Cotter
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Combinatorial Blocking Bandits with Stochastic Delays
Alexia Atsidakou · Orestis Papadigenopoulos · Soumya Basu · Constantine Caramanis · Sanjay Shakkottai
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Adapting to misspecification in contextual bandits with offline regression oracles
Sanath Kumar Krishnamurthy · Vitor Hadad · Susan Athey
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Online Unrelated Machine Load Balancing with Predictions Revisited
Shi Li · Jiayi Xian
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Distribution-dependent Analysis of Meta Learning
Mikhail Konobeev · Ilja Kuzborskij · Csaba Szepesvari
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
SpreadsheetCoder: Formula Prediction from Semi-structured Context
Xinyun Chen · Petros Maniatis · Rishabh Singh · Charles Sutton · Hanjun Dai · Max Lin · Denny Zhou
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity
Dhruv Malik · Aldo Pacchiano · Vishwak Srinivasan · Yuanzhi Li
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
Kashif Rasul · Calvin Seward · Ingmar Schuster · Roland Vollgraf
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning
Lokesh Chandra Das · Myounggyu Won
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
An Integer Linear Programming Framework for Mining Constraints from Data
Tao Meng · Kai-Wei Chang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism
Brijen Thananjeyan · Kirthevasan Kandasamy · Ion Stoica · Michael Jordan · Ken Goldberg · Joseph E Gonzalez
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Probabilistic Programs with Stochastic Conditioning
David Tolpin · Yuan Zhou · Tom Rainforth · Hongseok Yang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Deep Coherent Exploration for Continuous Control
Yijie Zhang · Herke van Hoof
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
Kyoungseok Jang · Kwang-Sung Jun · Se-Young Yun · Wanmo Kang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks
Bohan Wang · Qi Meng · Wei Chen · Tie-Yan Liu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Lower-Bounded Proper Losses for Weakly Supervised Classification
Shuhei M Yoshida · Takashi Takenouchi · Masashi Sugiyama
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
Changhun Jo · Kangwook Lee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
Yunwen Lei · Zhenhuan Yang · Tianbao Yang · Yiming Ying
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics
Greg Yang · Etai Littwin
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Policy Analysis using Synthetic Controls in Continuous-Time
Alexis Bellot · Mihaela van der Schaar
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A large-scale benchmark for few-shot program induction and synthesis
Ferran Alet · Javier Lopez-Contreras · James Koppel · Maxwell Nye · Armando Solar-Lezama · Tomas Lozano-Perez · Leslie Kaelbling · Josh Tenenbaum
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
UCB Momentum Q-learning: Correcting the bias without forgetting
Pierre MENARD · Omar Darwiche Domingues · Xuedong Shang · Michal Valko
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections
Alexander D Camuto · Xiaoyu Wang · Lingjiong Zhu · Christopher Holmes · Mert Gurbuzbalaban · Umut Simsekli
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Theory of Label Propagation for Subpopulation Shift
Tianle Cai · Ruiqi Gao · Jason Lee · Qi Lei
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Dissecting Supervised Constrastive Learning
Florian Graf · Christoph Hofer · Marc Niethammer · Roland Kwitt
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
John Miller · Rohan Taori · Aditi Raghunathan · Shiori Sagawa · Pang Wei Koh · Vaishaal Shankar · Percy Liang · Yair Carmon · Ludwig Schmidt
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Consistent regression when oblivious outliers overwhelm
Tommaso d'Orsi · Gleb Novikov · David Steurer
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Gaussian Process-Based Real-Time Learning for Safety Critical Applications
Armin Lederer · Alejandro Ordóñez Conejo · Korbinian Maier · Wenxin Xiao · Jonas Umlauft · Sandra Hirche
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks
Xiaocheng Li · Chunlin Sun · Yinyu Ye
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Near-Optimal Representation Learning for Linear Bandits and Linear RL
Jiachen Hu · Xiaoyu Chen · Chi Jin · Lihong Li · Liwei Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
Andrew Jesson · Sören Mindermann · Yarin Gal · Uri Shalit
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
yue cao · Payel Das · Vijil Chenthamarakshan · Pin-Yu Chen · Igor Melnyk · Yang Shen
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
Hangrui Bi · Hengyi Wang · Chence Shi · Connor Coley · Jian Tang · Hongyu Guo
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions
Gabriel Mel · Surya Ganguli
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs
Weichao Mao · Kaiqing Zhang · Ruihao Zhu · David Simchi-Levi · Tamer Basar
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Dynamic Planning and Learning under Recovering Rewards
David Simchi-Levi · Zeyu Zheng · Feng Zhu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Deep Latent Graph Matching
Tianshu Yu · Runzhong Wang · Junchi Yan · baoxin Li
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
RATT: Leveraging Unlabeled Data to Guarantee Generalization
Saurabh Garg · Sivaraman Balakrishnan · Zico Kolter · Zachary Lipton
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Sparsity-Agnostic Lasso Bandit
Min-hwan Oh · Garud Iyengar · Assaf Zeevi
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
Yifang Chen · Simon Du · Kevin Jamieson
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
Botao Hao · Yaqi Duan · Tor Lattimore · Csaba Szepesvari · Mengdi Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Scaling Properties of Deep Residual Networks
Alain-Sam Cohen · Rama Cont · Alain Rossier · Renyuan Xu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
Jie Shen
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
Berfin Simsek · François Ged · Arthur Jacot · Francesco Spadaro · Clement Hongler · Wulfram Gerstner · Johanni Brea
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
Albert No · TaeHo Yoon · Sehyun Kwon · Ernest Ryu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Diffusion Source Identification on Networks with Statistical Confidence
Quinlan Dawkins · Tianxi Li · Haifeng Xu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Robust Unsupervised Learning via L-statistic Minimization
Andreas Maurer · Daniela Angela Parletta · Andrea Paudice · Massimiliano Pontil
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provably Efficient Algorithms for Multi-Objective Competitive RL
Tiancheng Yu · Yi Tian · Jingzhao Zhang · Suvrit Sra
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
Jie Ren · Mingjie Li · Zexu Liu · Quanshi Zhang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A Precise Performance Analysis of Support Vector Regression
Houssem Sifaou · Abla Kammoun · Mohamed-Slim Alouini
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
Minkai Xu · Wujie Wang · Shitong Luo · Chence Shi · Yoshua Bengio · Rafael Gomez-Bombarelli · Jian Tang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
Yuzhou Chen · Ignacio Segovia Dominguez · Yulia R Gel
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Break-It-Fix-It: Unsupervised Learning for Program Repair
Michihiro Yasunaga · Percy Liang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Near-Optimal Linear Regression under Distribution Shift
Qi Lei · Wei Hu · Jason Lee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Regularized Online Allocation Problems: Fairness and Beyond
Santiago Balseiro · Haihao Lu · Vahab Mirrokni
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees
L. Elisa Celis · Lingxiao Huang · Vijay Keswani · Nisheeth K. Vishnoi
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models
Salma Tarmoun · Guilherme Franca · Benjamin Haeffele · Rene Vidal
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
Zhaowei Zhu · Yiwen Song · Yang Liu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Training Recurrent Neural Networks via Forward Propagation Through Time
Anil Kag · Venkatesh Saligrama
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving
Yang Song · Chenlin Meng · Renjie Liao · Stefano Ermon
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal Off-Policy Evaluation from Multiple Logging Policies
Nathan Kallus · Yuta Saito · Masatoshi Uehara
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Learning Deep Neural Networks under Agnostic Corrupted Supervision
Boyang Liu · Mengying Sun · Ding Wang · Pang-Ning Tan · Jiayu Zhou
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
Jiafan He · Dongruo Zhou · Quanquan Gu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Gradient Fields for Molecular Conformation Generation
Chence Shi · Shitong Luo · Minkai Xu · Jian Tang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Latent Programmer: Discrete Latent Codes for Program Synthesis
Joey Hong · David Dohan · Rishabh Singh · Charles Sutton · Manzil Zaheer
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Discriminative Complementary-Label Learning with Weighted Loss
Yi Gao · Min-Ling Zhang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Online Learning in Unknown Markov Games
Yi Tian · Yuanhao Wang · Tiancheng Yu · Suvrit Sra
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Approximation Theory Based Methods for RKHS Bandits
Sho Takemori · Masahiro Sato
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Label Distribution Learning Machine
Jing Wang · Xin Geng
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Consensus Control for Decentralized Deep Learning
Lingjing Kong · Tao Lin · Anastasiia Koloskova · Martin Jaggi · Sebastian Stich
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
Tengyu Xu · Zhuoran Yang · Zhaoran Wang · Yingbin LIANG
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL
Andrea Zanette
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
Xutong Liu · Jinhang Zuo · Xiaowei Chen · Wei Chen · John C. S. Lui
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Solving Inverse Problems with a Flow-based Noise Model
Jay Whang · Qi Lei · Alexandros Dimakis
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimizing Black-box Metrics with Iterative Example Weighting
Gaurush Hiranandani · Jatin Mathur · Harikrishna Narasimhan · Mahdi Milani Fard · Sanmi Koyejo
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method
Kazuya Sugiyama · Vo Nguyen Le Duy · Ichiro Takeuchi
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Optimal Streaming Algorithms for Multi-Armed Bandits
Tianyuan Jin · Keke Huang · Jing Tang · Xiaokui Xiao
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Pure Exploration and Regret Minimization in Matching Bandits
Flore Sentenac · Jialin Yi · Clément Calauzènes · Vianney Perchet · Milan Vojnovic
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Compressed Maximum Likelihood
Yi Hao · Alon Orlitsky
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Quantile Bandits for Best Arms Identification
Mengyan Zhang · Cheng Soon Ong
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Event Outlier Detection in Continuous Time
Siqi Liu · Milos Hauskrecht
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Multi-Receiver Online Bayesian Persuasion
Matteo Castiglioni · Alberto Marchesi · Andrea Celli · Nicola Gatti
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Robust Pure Exploration in Linear Bandits with Limited Budget
Ayya Alieva · Ashok Cutkosky · Abhimanyu Das
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Differentiable Point Process with Its Application to Spiking Neural Networks
Hiroshi Kajino
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Asymmetric Loss Functions for Learning with Noisy Labels
Xiong Zhou · Xianming Liu · Junjun Jiang · Xin Gao · Xiangyang Ji
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
Piotr Teterwak · Chiyuan Zhang · Dilip Krishnan · Michael Mozer
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator
Zeng Li · Chuanlong Xie · Qinwen Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Selfish Sparse RNN Training
Shiwei Liu · Decebal Constantin Mocanu · Yulong Pei · Mykola Pechenizkiy
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Heterogeneous Risk Minimization
Jiashuo Liu · Zheyuan Hu · Peng Cui · Bo Li · Zheyan Shen
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Beyond $log^2(T)$ regret for decentralized bandits in matching markets
Soumya Basu · Karthik Abinav Sankararaman · Abishek Sankararaman
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent
Kangqiao Liu · Liu Ziyin · Masahito Ueda
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Optimal Auctions with Correlated Valuations from Samples
CHUNXUE YANG · Xiaohui Bei
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
ACE: Explaining cluster from an adversarial perspective
Yang Lu · Timothy C Yu · Giancarlo Bonora · William Stafford Noble
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Adversarial Dueling Bandits
Aadirupa Saha · Tomer Koren · Yishay Mansour
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Confidence-Budget Matching for Sequential Budgeted Learning
Yonathan Efroni · Nadav Merlis · Aadirupa Saha · Shie Mannor