POINTDAN: A MULTI-SCALE 3D DOMAIN ADAPTION NETWORK FOR POINT CLOUD REPRESENTATION
|
2020 |
Qin, Can |
TOWARD A CHARACTERIZATION OF LOSS FUNCTIONS FOR DISTRIBUTION LEARNING
|
2020 |
Haghtalab, Nika |
LOCALIZED STRUCTURED PREDICTION
|
2020 |
Ciliberto, Carlo |
GRU-ODE-BAYES: CONTINUOUS MODELING OF SPORADICALLY-OBSERVED TIME SERIES
|
2020 |
Brouwer, Edward De |
LEARNING-BASED LOW-RANK APPROXIMATIONS
|
2020 |
Indyk, Piotr |
LIST-DECODABLE LINEAR REGRESSION
|
2020 |
Karmalkar, Sushrut |
WHAT THE VEC? TOWARDS PROBABILISTICALLY GROUNDED EMBEDDINGS
|
2020 |
Allen, Carl |
SELF-ROUTING CAPSULE NETWORKS
|
2020 |
Hahn, Taeyoung |
THE ARAMETERIZED COMPLEXITY OF CASCADING PORTFOLIO SCHEDULING
|
2020 |
Eiben, Eduard |
MAXIMUM EXPECTED HITTING COST OF A MARKOV DECISION PROCESS AND INFORMATIVENESS OF REWARDS
|
2020 |
Dai, Falcon |
A POLYNOMIAL TIME ALGORITHM FOR LOG-CONCAVE MAXIMUM LIKELIHOOD VIA LOCALLY EXPONENTIAL FAMILIES
|
2020 |
Axelrod, Brian |
A UNIFYING FRAMEWORK FOR SPECTRUM-PRESERVING GRAPH SPARSIFICATION AND COARSENING
|
2020 |
Hermsdorff, Gecia Bravo |
HOW DEGENERATE IS THE PARAMETRIZATION OF NEURAL NETWORKS WITH THE RELU ACTIVATION FUNCTION?
|
2020 |
Elbrächter, Dennis Maximilian |
SMILE: SCALABLE META INVERSE REINFORCEMENT LEARNING THROUGH CONTEXT- CONDITIONAL POLICIES
|
2020 |
Ghasemipour, Seyed Kamyar Seyed |
A UNIFIED BELLMAN OPTIMALITY PRINCIPLE COMBINING REWARD MAXIMIZATION AND EMPOWERMENT
|
2020 |
Leibfried, Felix |
TOWARDS UNDERSTANDING THE IMPORTANCE OF SHORTCUT CONNECTIONS IN RESIDUAL NETWORKS
|
2020 |
Liu, Tianyi |
DIFFERENTIALLY PRIVATE ANONYMIZED HISTOGRAMS
|
2020 |
Suresh, Ananda Theertha |
ZO-ADAMM: ZEROTH-ORDER ADAPTIVE MOMENTUM METHOD FOR BLACK-BOX OPTIMIZATION
|
2020 |
Chen, Xiangyi |
CORESETS FOR ARCHETYPAL ANALYSIS
|
2020 |
Mair, Sebastian |
NON-STATIONARY MARKOV DECISION PROCESSES, A WORST-CASE APPROACH USING MODEL- BASED REINFORCEMENT LEARNING
|
2020 |
Lecarpentier, Erwan |